ОБРАБОТКА ИЗОБРАЖЕНИЯ С ИЗМЕНЕНИЕМ СТЕПЕНИ ЯРКОСТИ ПРИ ПОСТОЯНСТВЕ ЦВЕТА

Изобретение относится к вычислительной технике. Технический результат заключается в обеспечении пониженной чувствительности к шуму. Устройство обработки цвета изображения содержит: блок, скомпонованный для применения соответствующих взвешенных или невзвешенных функций (FNLR, FNLG, FNLB) к каждому из красного, зеленого и синего компонента входного изображения, приводя к модифицированному красному, зеленому и синему цветовым компонентам, при этом каждая из функций может быть одной из нелинейной функции, линейной функции масштабирования, умножающей компонент (B) входного цвета на вес, или единичной функции входного компонента, или комбинации входных компонентов, блок вычисления максимума (M) по меньшей мере трех модифицированных компонентов; блок отображения светлоты для применения функции (F) к максимуму, производящей выходное значение (F(M)); калькулятор параметра масштабирования для вычисления параметра масштабирования (a), равного выходному значению (F(M)), деленному на максимум (M); и ...

СПОСОБ ОБНАРУЖЕНИЯ НАСЫЩЕННЫХ ПИКСЕЛОВ В ИЗОБРАЖЕНИИ

Изобретение относится к области техники обнаружения переэкспонированных или насыщенных областей в изображении. Технический результат заключается в обеспечении возможности точного обнаружения переэкспонированной области изображения с одновременным повышением точности последующей цветовой коррекции. Способ обнаружения насыщенных пикселов в изображении, цвета которого представлены цветовыми координатами, соответствующими различным цветовым каналам, содержащий этап, на котором обнаруживают пикселы, цвета которых имеют по меньшей мере одну цветовую координату, соответствующую одному из упомянутых цветовых каналов, которая превышает пороговое значение (thr; thg; thb) насыщенности для упомянутого цветового канала, отличающийся тем, что пороговые значения (thr; thg; thb) насыщенности для упомянутых цветовых каналов, соответственно, равны цветовым координатам (rw, gw, bw), представляющим оцененный источник (ILL) света упомянутого изображения, причём упомянутый оцененный источник света соответствует ...

СПОСОБ И УСТРОЙСТВО ДЛЯ ПРЕОБРАЗОВАНИЯ ДАННЫХ ИЗОБРАЖЕНИЯ

Изобретение относится к демонстрации и обработке изображений для тонального отображения и/или отображения цветовой гаммы и может применяться для создания качественных изображений на целевых дисплеях при сохранении творческого замысла. Техническим результатом является обеспечение зрителей изображений впечатлениями от просмотра, которые эксплуатируют возможности дисплеев, на которых они просматривают изображения. Предложено устройство для управления отображением изображений, которое включает: ввод для доступа к первым информационным данным для контрольного дисплея, причем первые информационные данные включают уровень черной точки, уровень белой точки и уровень средней точки светимости для контрольного дисплея; ввод для доступа ко вторым информационным данным для целевого дисплея, причем вторые информационные данные включают уровень черной точки, уровень белой точки и уровень средней точки светимости для целевого дисплея; процессор для определения функции преобразования для преобразования ...

СПОСОБ И УСТРОЙСТВО ДЛЯ ПРЕОБРАЗОВАНИЯ ДАННЫХ ИЗОБРАЖЕНИЯ

... 1. Устройство, которое включает:модуль отображения координат пикселов, сконфигурированный для преобразования данных изображения в соответствии с функцией преобразования, которая характеризуется несколькими узловыми точками и свободным параметром, при этом функция преобразования имеет в среднем диапазоне наклон, управляемый свободным параметром, причем преобразования в узловых точках не подвержены влиянию свободного параметра.2. Устройство по п. 1, отличающееся тем, что данные изображения содержат наборы значений пикселов для пикселов на изображении, при этом указанные наборы значений пикселов содержат значения цветов для каждого из нескольких основных цветов, и устройство содержит несколько модулей отображения координат пикселов, каждый из которых подключен для преобразования соответствующего одного из значений цветов.3. Устройство по п. 2, отличающееся тем, что содержит дисплей электронного изображения, где каждое из значений цветов соответствует основному цвету, который является собственным ...

СПОСОБ ПРЕОБРАЗОВАНИЯ ЦВЕТОВ, УСТАНОВКА ДЛЯ КОРРЕКЦИИ ЗНАЧЕНИЯ ШКАЛЫ СЕРОГО, КОМПЬЮТЕРНАЯ ПРОГРАММА И УСТАНОВКА ДИСПЛЕЯ

Tonkonversionsverfahren zur Herstellung farbschleierfreier Reproduktionen

Kaskadenartige Bildverarbeitung mit Histogrammvorhersage

Kontrolle der Tintenwanderung und Diskontinuitäten des physikalischen Farbtonumfangs für den digitalen Farbendruck

Farbbildverarbeitungsgerät.

Farbkorrektur für photographische Reproduktion

CHARAKTERISIERUNG VON FARBBILDAUFNAHMESYSTEMEN

Verfahren zur Bewahrung der räumlichen Einzelheiten und des Farbinhalts während die Tonskala eines digitalen Farbildes verändert wird

MONTONE KONVERTIERVORRICHTUNG, MONOTONES KONVERTIERVERFAHREN UND MEDIUM AUF DEM EIN MONOTONES KONVERTIERBARES PROGRAMM AUFGENOMMEN WERDEN KANN

Bildverarbeitung für digitales Kino

Farbkorrektur für Ausdrucke und Indexprints

Der EYE-TECH-Farbkorrektur-Algorithmus wird bei den herkömmlichen Druckern von GRETAG, wie z. B. einem SYNTRA-Drucker und einem MASTER FLEX-Minilab, erfolgreich verwendet. Dieser Algorithmus kann ebenso auf Bilddaten angewendet werden, die digital abgetastet werden. Dies wird bei einer Hybridanwendung, wie z. B. Indexprinter-Einheiten, die den herkömmlichen Printern hinzugefügt werden, sowie bei der neuen Generation von voll digitalen Printern durchgeführt. Eine spezielle Aufmerksamkeit ist erforderlich, um den Farbraum, der von dem EYE-TECH-Algorithmus verwendet wird, an die Farbräume anzupassen, die in Filmscannern und Druckmaschinen verwendet werden.

Image capture apparatus and method of controlling the same

Methods and arrangements for calibrating a color printing device using multi-dimensional look-up tables

Color correcting circuit for thermal printer

A color correcting circuit for thermal printer comprises a first circuit for obtaining a first degree correction operation result, a second circuit for obtaining a second degree correction operation result, and a difference limiting circuit for selectively outputting a correction data. The first degree correction operation makes the relationship between the density of an input image and the density of an output image linear for each primary color. The second degree correction operation reduces a difference between the density of the input image and the density of the output image by use of the method of least squares for each primary color. The difference limiting circuit selectively outputs as the correction data the second degree correction operation result when a difference between the first and second degree correction operation results falls within a predetermined range of a boundary value, and selectively outputs as the correction data a value which is deviated from the first degree ...

Methods and arrangements for calibrating a color printing device using multi-dimensional look-up tables

COLOUR CORRECTING CIRCUIT FOR THERMAL PRINTER

Method for setting a black plate curve for use in multicolor plate-making

Light intensity values as picture information of a color original are obtained by using photographic density characteristic curves of the color-film original, instead of conventional density values. Thus obtained light intensity values are processed by conducting a specific tonal conversion formula (1) to obtain color-separation curves for color (C, M and Y) plates. On the basis of the color-separation curves for the color plates, a range to be entered black is determined, and a color-separation curve for a black (B) plate is set by conducting the same tonal conversion formula (1).

Method for setting a black plate curve for use in a multicolor plate-making

Image processing

Auto white balance using infrared and/or ultraviolet signals

IMPROVEMENTS RELATING TO NON-LINEAR FUNCTION GENERATORS

... 1,236,377. Analogue function generators. CROSFIELD ELECTRONICS Ltd. 3 Sept., 1968 [4 Sept., 1967], No. 40260/67. Heading G4G. [Also in Division H4] A function generator, e.g. for colourtone correction receives an analogue voltage x representing, e.g. a colour component to produce a voltage z representing f (x, y) from which a function generator produces a voltage representing F(z) having zero value for at least two values of z corresponding, e.g. to " black " and "first printing" tone values; a variable attenuator responsive to F(z) producing a signal #F(Z) which is combined with a signal representing a multiple mx of the input voltage to generate a voltage representing y. Voltage x is applied (Fig. 1) to summation amplifier A, also receiving voltage y fed back from the output to produce voltage (x+y) from which triple function generator x 1 , x 2 , x 3 produces function voltages # 1 (x+y), # 2 (x+y), # 3 (x+y). Voltage # 1 (x+y) is applied over attentuator # centre tapped to ground to ...

Image capture apparatus and method of controlling

METHODS OF COMPENSATING FOR NON-LINEARITIES IN A REPRODUCTION PROCESS

... 1515052 Facsimile DR-ING RUDOLF HELL GmbH 14 June 1976 [13 June 1975] 24601/76 Heading H4F In order to reduce the effect of non-linearities in a facsimile production system a test grey scale is generated in a counter 29 and employed to expose a sample of film to be used in the system on a drum 26. The grey scale ("test grey wedge") is generated in the form of 10 bit binary numbers converted by A/D converter 21 to graduated input voltages corresponding to successive density levels in the wedge. The exposed and developed wedge is rescanned by a densitometer 38 and successive readings of consecutive density levels are loaded into a store 41 at addresses corresponding to their supposed density level. In the next stage consecutive wedge grey levels are generated in a counter 44 and by use of a comparator 43 compared individually to find an equivalent density level in store 41 when this is done that level is entered in a correcting store 16 so that in use density levels derived by scanning an ...

IMAGE PROCESSING SYSTEM AND - PROCEDURES AND RECORDING MEDIUM FOR APPROPRIATE PROGRAM

COLOR CORRECTION FOR PHOTOGRAPHIC REPRODUCTION

IMAGE PROCESSING SYSTEM AND - PROCEDURES

CONVERSION OF VIDEO SIGNALS TO PHOTOGRAPHIC PRINTS

Combined HDR/LDR video streaming

The invention provides methods for broadcasting video in a dual HDR/LDR format such that the video can be displayed in real time by both LDR and HDR display devices. Methods and devices of the invention process streams of pixels from multiple sensors in a frame-independent manner to produce an HDR video signal in real time. That HDR video signal is then tone-mapped to produce an LDR video signal, the LDR signal is subtracted from the HDR signal to calculate a residual signal, and the LDR signal and the residual signal are merged into a combined signal that is broadcast via a communications network.

MULTICOLOR SUBLIMATION TYPE THERMAL RECORDING METHOD AND DEVICE THEREFOR

AUTOMATIC COLOR CORRECTION FOR SEQUENCES OF IMAGES

Automatic color correction is applied to a scene or clip, including a sequence of images, in a motion picture by selecting a representative image of the scene, analyzing the image and adjusting parameters of a color correction operation that is performed on the sequence of images included in the scene. This operation can be repeated automatically for all scenes or for selected scenes in the motion picture. The parameters may be adjusted to automatically color balance the image while maintaining substantially constant contrast. Analysis of the representative image may include identifying an offset of a peak in a two-dimensional histogram of the colors in the representative image from a white point. Parameters of a color correction operation are adjusted according to this offset. Separate histograms and offsets may be determined for shadows, midtones and highlight regions of the representative image. Analysis of the representative image may include determining a one-dimensional histogram ...

DIAGNOSIS ASSISTING DEVICE, AND IMAGE PROCESSING METHOD IN DIAGNOSIS ASSISTING DEVICE

Provided are a diagnosis assisting device that facilitates a user to grasp a difference of an affected area to perform a highly precise diagnosis assistance, an image processing method in the diagnosis assisting device, and a program. An image processing method in a diagnosis assisting device that diagnoses lesions from a picked-up image includes (A) performing an image processing on the picked-up image. In (A), a peripheral area other than a diagnosis area that has a high probability as diseases in the picked-up image is set to be a measuring area when an image correction is performed.

CREATING IMAGES FOR DISPLAYING OR PRINTING ON LOW-CONTRAST BACKGROUND

Techniques for automatically adding special effects to an image to be overlaid on a low-contrast background are presented. A stroke or an intervening layer of a color contrasting with the background color is automatically added to provide a contrasting color around the edges of visible image content in an image container of an electronic document. The technique may be applied to entire libraries of images to generate variant images that are visually perceptible when displayed or printed on low-contrast background colors.

PROCEDURE FOR THE COMPENSATION OF NICHTLINEARITAETEN DURING A REPRODUCTION PROCESS.

PROCEDURE FOR ADJUSTMENT THE FARBSAETTIGUNG FROM COLOR SIGNALS AS WELL AS COLOR VIDEO PRINT EQUIPMENT TO ITS EXECUTION.

PROCEDURE FOR THE ELECTRONIC IMAGE PROCESSING.

PROCEDURE AND DEVICE FOR THE AUTOMATIC CORRECTION OF COLOR PASSES DURING THE ELECTRONIC IMAGE PROCESSING.

PROCEDURE FOR POINT AND LINE BY LINE ONE COPYING A MULTI COLOR COPYING COLLECTING MAIN AND DEVICE FOR THE EXECUTION OF THIS PROCEDURE.

PROCEDURE FOR ADJUSTMENT THE FARBSAETTIGUNG DURING THE ELECTRONIC IMAGE PROCESSING.

PROCEDURE FOR THE AUTOMATIC CORRECTION OF THE FARBSAETTIGUNG DURING THE ELECTRONIC IMAGE PROCESSING.

PROCEDURE AND DEVICE FOR ADJUSTMENT OF EXPOSURE SIZES AT A PHOTOCOPYING APPARATUS.

Image processing apparatus and image processing method

The invention provides an image processing apparatus and an image processing method. The image processing apparatus includes an input unit configured to input an instruction to perform color conversion, a color conversion unit to perform color conversion based on the instruction by using a first color matching profile, and a display unit configured to display a message which indicates that an effect of color conversion on the vividness of an image is small, in a case where a color difference between the image on which color conversion has been performed by using the first color matching profile and the image on which color conversion has been performed by using a second color matching profile is less than a color matching threshold value.

Automatic face extraction for use in recorded meetings timelines

A METHOD FOR AUTOMATICALLY DETERMINING the CONDITIONS OF CONTROL OF COLOR Of an IMAGE OF REPRODUCTION

PROCESS AND DEVICE OF VIRTUAL SIMULATION Of an IMAGE

Image compensation apparatus

COLOR CONVERTING DEVICE AND COLOR CONVERTING METHOD

A color converting device and a color converting method for processing color data. The device and method suppress strengthening of influence of noise components or color batter, as might otherwise accompany color conversion for enhancing the color saturation of color data. Multiplication coefficient calculating means (4) calculates a multiplication coefficient based on the characteristic information on first color data to be converted in color, and second color correction quantity calculating means (5) calculates a second color correction quantity by multiplying the first color correction quantity calculated by the first color correction quantity calculating means (1) by the multiplication coefficient. Color correction quantity adding means (2) acquires second color data after color conversion by adding a second correction quantity to the first color data. The second color correction quantity is calculated on the basis of the first characteristic information, so that the strengthening of ...

ADAPTIVE SATURATION IMPROVING APPARATUS AND A METHOD HAVING A NOISE REDUCING FUNCTION, FOR PREVENTING A PHENOMENON THAT COLOR OF NOISE IS EMPHASIZED

PURPOSE: An adaptive saturation improving apparatus and a method having a noise reducing function are provided to restrain a phenomenon that color of noise is emphasized in performing a saturation control operation. CONSTITUTION: A luminance value extracting unit(120) extracts a luminance value of an input image. A saturation control unit(130) controls a saturation component of the input image based on the extracted luminance value. A first color conversion unit(105) converts the input image expressed by the first color space coordinate values into a converted image expressed by the second color space coordinate values available for extraction of a saturation component. A saturation component extracting unit(110) extracts the saturation component from the converted image. A second color conversion unit(145) converts the first output image reflecting the controlled saturation component into the second output image expressed by the first color space coordinate values. © KIPO 2008 ...

IMAGE PROCESSING METHOD AND APPARATUS, IMAGE FORMING APPARATUS AND SYSTEM, PROGRAM AND RECORDING MEDIUM

Recording data is produced from first image data corresponding to each pixel with a first number of gradations so as to supplied to a recording apparatus, which expresses each pixel with a number of gradations smaller than the first number of gradations. Second image data is produced by converting the first image data into a color space that can be output by the recording apparatus. Third image data is produced based on a second number of gradations of the second image data so that the third image data has a third number of gradations. The recording data is produced by applying a halftone process to the third image data. The third number of gradations of the third image data is adjusted to be equal to or larger than the second number of gradations of the second image data in accordance with a number of colors for each pixel used in the second image data. © KIPO & WIPO 2007 ...

PHOTOGRAPHING APPARATUS FOR PERFORMING WHITE BALANCE CONTROL, AND CONTROL METHOD THEREOF

The present invention provides a photographing apparatus capable of properly performing white balance control on an image. A photographed image is divided into areas and a color evaluation value is acquired from each area. Infrared light is detected from each of areas of a subject defined in association with the areas of the image. White balance correction is performed on the image by using a mixed WB correction value calculated by mixing a first WB correction value calculated by using the color evaluation values included in a white detection range set in a color space, and a second WB correction value calculated by using the color evaluation values acquired from areas each having an infrared light amount larger than a predetermined amount and included in a detection range of a predetermined color other than white, set in the color space. COPYRIGHT KIPO 2016 (201) Block dividing unit (202) White determination unit (203) White-based WB correction value calculation unit (204) White-based ...

IMAGE SIGNAL PROCESSING APPARATUS PERFORMING GAMMA CORRECTION BY CUBIC INTERPOLATION COMPUTATION TO ACHIEVE PROPER GRADATION AND CONTRAST, AND A METHOD THEREOF

PURPOSE: An image signal processing apparatus performing gamma correction by cubic interpolation computation, and a method thereof are provided to prevent the increase of the amount of software processing and the number of setting operations. CONSTITUTION: A section determining unit(26) detects a non-equidistantly section. A correction level maintaining unit(21) maintains a signal level of an image signal after correction about each sample point by a correction level. An interpolative calculation unit(25) executes cubic interpolative calculation with reference to the correction level. A signal level of the image signal after the correction corresponding to the signal level of the inputted image signal is obtained. © KIPO 2009 ...

Methods and apparatus for image data transformation

HIGH DENSITY INK-JET PRINTING ON A TRANSPARENCY

A method for printing on transparent medium using an ink-jet printer. The method includes providing a gray scale image having a plurality of pixels, each pixel having a pixel value corresponding to a brightness of the pixel; converting each pixel value to an ink output value for the ink-jet printer using a conversion function, wherein the conversion function maps the darkest pixel value to an optical density of greater than 2.5 and maps all other pixel values to an appropriate output pixel value such that a resulting printed image is perceived to be linearly bright across the image.

IMAGE PROCESSING DEVICE AND METHOD

An information processing device capable of nonlinearly transforming luminance and saturation on their own without changing any hue and improving the image quality when the nonlinear transformation of a relatively dark image is performed is provided. A transformation coefficient calculating unit (7) calculates a luminance transformation coefficient and saturation transformation coefficient which should be used for the nonlinear transformation processing of each pixel of interest which is a processing target pixel in an image signal. A signal level transforming section (9) nonlinearly transforms a pixel signal of the pixel of interest on the basis of the luminance transformation coefficient and the saturation transformation coefficient to change the luminance and the saturation. With this, the luminance and the saturation are separately transformed without changing any hue. The saturation transformation coefficient is the value corresponding to the luminance transformation coefficient and ...

METHOD OF COLOR ACCENTUATION

The color accentuation method determines the relative magnitude of each color component in each pixel or area. T selects and adjusts the magnitude of one or more of the colors as a function of the determined relative magnitudes of each color component. The type and amount of the adjustment may be a function of the relative magnitude differences. One or more of the magnitudes is adjusted to change the relative magnitudes. Typically, the difference in a subtractive color space s between the lowest and middle magnitude color and n an additive color space is between the highest and the middle magnitude color. Also, typically, the lowest color component s reduced in the subtractive color space and the highest is increased in the additive color space. Various scaling functions and compensations or adjustments of the color accentuation may be used.

Image processing apparatus and image processing method

A color correction table which contains a correspondence relationship between a discrete input color signal and an output color signal is employed. An inputted color signal is corrected by a signal correcting unit, and an approximating unit acquires a discrete input color signal approximated to the corrected input color signal. A table referring unit refers to the color correction table to output an output color signal which corresponds to the input color signal approximated by the approximating unit. An approximate error producing unit calculates an approximate error from difference between the input and output signals supplied to the approximating unit, and then stores this calculated approximate error into a data holding unit. The stored approximate error is supplied to a signal correcting unit to be used in the correction of the input signal.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Provided is an image processing apparatus capable of adjusting a color of an image of an observation target depending on differences between viewing angles. The image processing apparatus obtains a viewing angle of a first observation target and a viewing angle of a second observation target, and then corrects the color of each observation target by using the obtained viewing angles of the first and second observation targets.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM

In the image processing apparatus, a color gamut information storage unit stores terminal information, color gamut determination information and color gamut information in association with one another; an input image determination unit determines whether the input image is a standard color gamut image or a non-standard color gamut image based on the color gamut determination information acquired based on the terminal information; and a first color conversion unit converts the input image as determined to be the non-standard color gamut image into an output image suitable for a color gamut of a printing apparatus based on the color gamut information acquired based on the terminal information so that the input image printed by the printing apparatus may be equal in color to the input image displayed on the display unit of the terminal device. 1. An image processing apparatus , comprising:a color gamut information storage unit configured to store terminal information indicating a type of one or more terminal devices, color gamut determination information indicating whether a color gamut of a display unit of each corresponding terminal device is a standard color gamut or a non-standard color gamut that is not the standard color gamut, and color gamut information indicating a color gamut of the display unit of each corresponding terminal device in association with one another;an input image acquisition unit configured to acquire an input image;a terminal information acquisition unit configured to acquire terminal information indicating the type of a terminal device that has input the input image;an input image determination unit configured to acquire the color gamut determination information stored in association with the terminal information acquired by the terminal information acquisition unit from the color gamut information storage unit based on the acquired terminal information, and determine whether the input image is a standard color gamut image of the standard ...

METHODS AND APPARTUSES FOR RESTORING COLOR AND ENHANCING ELECTRONIC IMAGES

Methods and apparatuses for color image restoration and enhancement. In at least one embodiment, color signals for individual channels of an image (e.g., red, green, or blue) are adjusted based on a weighted set of averages (e.g., of the entire image, the center portion, the surrounding portion, or other portions). In one example, pixels with extreme values of color signals (e.g., pure black or white pixels) are ignored for the purposes of restoring color; and, the different averages are weighted according to the pixel location (e.g., the distance from the pixel to a center point). In one example, after color restoration for individual channels, the luminance of each pixel is adjusted back to their original levels; and the range of luminance of the image is further adjusted to provide improved brightness and contrast, where in determining the luminance the red, green and blue color channels are given an equal weight.

System and process for automatic exposure correction in an image

A system and process for improving the appearance of improperly colored and/or improperly exposed images is presented. This involves the use of two novel techniques—namely an automatic color correction technique and an automatic exposure correction technique. The automatic color correction technique takes information from within an image to determine true color characteristics, and improves the color in improperly colored pixels. The automatic exposure correction technique measures the average intensity of all of the pixels and adjusts the entire image pixel by pixel to compensate for over or under exposure. These techniques are stand alone in that each can be applied to an image exclusive of the other, or they can both be applied in any order desired.

Pre-press process and system for accurately reproducing color images

A pre-press process employs color accurate instant photography so that the customer and/or his photographer adjust lighting and exposure at the photography session to achieve approved reflection originals. The photographs are judged under controlled lighting against a standard background in device such as a potable illuminator. Since any deficiencies are corrected by recreating an improved original, the session produces a job output which is 100% suitable for color accurate scanning and separation without the intervention of the pre-press operator. Originals are suitable as proofs for the printer to match. Novel means are employed to achieve rapid, colorimetrically calibrated scanning with standard equipment, and the colorimetry of the prior art is improved to deal effectively with whitepoint and blackpoint misalignment.

Method of calculating color correcting condition and medium for storing the method

In a method of calculating a color correcting condition for a color image composed of plural pixels each separated into plural primary color density values, a statistic indicating a relationship between a primary color density value and a number of pixels showing the primary color density value is made for each primary color; a specific density value corresponding to a predetermined statistic value for each primary color from the statistic is calculated; an extracting condition for each primary color is determined based on the obtained specific density value; specific pixels are extracted from the plural pixels of the color image so as to satisfy the extracting condition; and the color correcting condition is determined based on the plural primary color density values of the extracted specific pixels.

Method for reproducing correct images from incorrect exposure images

For a color photosensitive material, a conversion table is created in order to convert three-color separation densities into Densities obtained by monochromatic Exposure (DME), and characteristic curves with respect to the DME's are created. The conversion table is used in order to convert three-color separation densities of respective picture elements of an incorrectly exposed image into DME's corresponding to the respective picture elements. The characteristic curves with respect to the DME's are used in order to convert the DME's corresponding to the respective picture elements of the incorrectly exposed image into DME's which correspond to a correctly exposed image. An image is then reproduced on the basis of the DME's which correspond to a correctly exposed image and which are thus found for the respective picture elements.

Automatic color adjustment in a document processing environment

A system and method for automatically adjusting image color in a document processing system are discussed. The system operates by generating a digital representation of a printed document. The digital representation includes a plurality of pixels. A brightness value is calculated for each of the pixels, and a "brightest" list is generated comprising a plurality of the pixels having the largest brightness values. Also, a "darkest" list comprising a plurality of the pixels having the smallest brightness values is generated. An average bright color of pixels in the "brightest" list is generated, and an average dark color of pixels in the "darkest" list is generated. Red, green, and blue scaling functions each having a white point set equal to the average bright color and a black point set equal to the average dark color are generated. The digital representation is scaled in accordance with the red, green, and blue scaling functions to produce a modified image.

Image forming apparatus

An image forming apparatus includes an image reading unit for reading a color image of original document and an image forming unit for forming a color reproduced image on an image forming medium based on the color image read by the image reading unit. In the image forming apparatus, the image reading unit firstly reads a first original document, which is regarded as a standard, to obtain a first color image. The first color image is converted into a plurality of first separate color signals corresponding to each of the color components of the first color image. The image reading unit also reads a second original document to obtain a second color image. The second color image is converted into a plurality of second separate color signals corresponding to each of the color components of the second color image. This image forming apparatus has a parameter calculation unit and a density conversion unit. The parameter calculation unit calculates density conversion parameters based on each of ...

Apparatus for converting color signals

An apparatus which converts R, G, B color signals into Y, Cr, Cb signals and reconverts them into R, G, B signals, compensates converted Y signals in order to confine each component of R, G, B color signals to be reconverted in a dynamic range allowable for them.It is not necessary to provide time consuming processes for checking and compensating reconverted R, G, B color signals and total time required for reconversion is reduced.

Lithographic reproduction original classification and color separation tone curve adjustment

An original to be lithographically reproduced is classified according to density distribution into one of a plurality of classes established on the basis of various high quality standard printed reproductions by comparing the density distribution patterns of the original and the standard reproductions. The patterns indicate relative frequency of density values in the entire density range. After being classified, the original is reproduced utilizing a standard color separation tone curve for a scanner that corresponds to the compared and selected standard reproduction. Alternatively a reference tone curve based on a grey scale may be used with a correction according to the difference between the reference tone curve and the standard tone curve. Also the reference tone curve may be corrected with the difference between the original density distribution pattern and the selected standard density distribution pattern. An apparatus for use in the processes is also disclosed.

CAMERA SYSTEM ENCODER/DECODER ARCHITECTURE

An image capture accelerator performs accelerated processing of image data. In one embodiment, the image capture accelerator includes accelerator circuitry including a pre-processing engine and a compression engine. The pre-processing engine is configured to perform accelerated processing on received image data, and the compression engine is configured to compress processed image data received from the pre-processing engine. In one embodiment, the image capture accelerator further includes a demultiplexer configured to receive image data captured by an image sensor array implemented within, for example, an image sensor chip. The demultiplexer may output the received image data to an image signal processor when the image data is captured by the image sensor array in a standard capture mode, and may output the received image data to the accelerator circuitry when the image data is captured by the image sensor array in an accelerated capture mode.

SYSTEMS AND METHODS FOR IMAGE CAPTURE AND PROCESSING

Systems and methods for image processing. The methods comprise: obtaining, by a computing device, a plurality of exposure sequences, each said exposure sequence comprising a plurality of captured images captured sequentially in time at different exposure settings; respectively fusing, by the computing device, the plurality of captured images of said exposure sequences to create a plurality of fused images; and performing operations by the computing device to stitch together the plurality of fused images to create a combined image. The plurality of captured images, the plurality of fused images and the combined image are created using at least the same exposure parameters and white balance correction algorithm parameters.

Image processing device with automatic white balance

According to one aspect of the present invention, there is provided a digital camera system being capable of taking a frame of image data comprising a plurality of color elements, the system being arranged: to divide the frame image data into a plurality of blocks including a plurality of pixel data; to calculate a predetermined value for the each color element and for each of all or a part of the plurality of blocks; to judge, for each of all or a part of the plurality of blocks, whether the block being likely a part of a grey object or not to cumulate the predetermined values of the blocks judged as being likely a part of a gray object for the respective color elements, and; to decide a first set of digital gains for adjusting white balance based on the cumulated values.

Color conversion device and color conversion method

After applying gray scale conversion to image data of three colors, six hue data are obtained, and then first comparison-result data and second-order terms each relating to one of the six hues, and second comparison-result data each relating to one of the six inter-hue areas are obtained. Matrix calculation is performed on the first comparison-result data, the second comparison-result data, and the second-order terms, using coefficients. By varying the coefficients, adjustment can be made to only the target hue or inter-hue area, without affecting other hues and inter-hue areas. Thus, the six hues and six inter-hue areas can be varied independently, and the large-capacity memory is not required. Moreover, by the use of the gray scale conversion, the effects of the non-linear characteristics of the input signals are removed.

Cubiform method

A method performed by a module executing on a computing device. The method includes receiving a request to generate a new color lookup table (“C-LUT”). The request includes at least one parameter value indicating a parameter change input by a user. The request may also indicate a number of data-points in the new C-LUT. The method includes generating a new color value for each of the data-points based on the at least one parameter value. The module appends the new color value for each of the data-points to a data structure and generates the new C-LUT from the data structure. The new color lookup table is operable to replace a current color lookup table.

System and method for color enhancement

Apparatus, methods, and other embodiments associated with image processing operations are disclosed that provide image color enhancement. According to one embodiment, an apparatus includes zone classifier logic to map base chrominance components of pixels of color data to zones within a color space, where each zone is assigned a gain value. Saturation detection logic generates saturation values from the base chrominance components for each pixel of the color data. Saturation transformation logic transforms the saturation values to sigmoidal output values based on a sigmoidal transformation model. Chrominance enhancement logic generates enhanced chrominance components for each pixel of the color data based on the base chrominance components, the saturation values, the sigmoidal output values, and gain values assigned to the zones to which the base chrominance components are mapped.

FRAME HANDLING FOR ML-BASED UPSCALING

Frame handling an input image in an ML-based upscaling process to produce an output image, including: detecting and extracting boxing edge regions from edges of an active picture area of the input image; extending the extracted boxing edge regions by adding extra pixels around each of the boxing edge regions to produce padded edge regions; upscaling the padded edge regions to produce upscaled padded edge regions; cropping each of the upscaled padded edge regions to a size corresponding to the size of each of the boxing edge regions prior to the upscaling multiplied by an upscaling factor; inserting the cropped edge regions into the edges of the output image; and upscaling a non-edge region of the input image and inserting the upscaled non-edge region into the output image.

Method for adjusting saturation and contrast of an area of an image and apparatus thereof

A method for adjusting saturation of an area of an image is disclosed. The method includes calculating a deviation level of a pixel in the area of the image by a processor and calculating a modified saturation value of the pixel in the area of the image according to the deviation level of the pixel in the area of the image and an original saturation value of the pixel in the area of the image by the processor. The deviation level indicates brightness differences of the brightness values among the pixel and a pixel set in a vicinity of the pixel in the area of the image. The pixel set includes pixels in the vicinity of the pixel of the area of the image.

Image processing apparatus capable of generating distributable image while maintaining readability and security

An image input from an image input unit is divided into a ground portion and a document other than the ground portion in an image divider, and a latent image is extracted from a ground pattern included in the ground portion in a latent image extractor. Lightness of the latent image is corrected to be closer to lightness of the document in a lightness corrector, and a color of the latent image is converted into a gradation A in a latent image converter. A color of the document is converted in a document converter into a gradation B including the same plurality of colors as gradation A and having a different manner of gradation. The latent image and the document are integrated in an image integrator to generate an image including the latent image and the document having similar lightness with a difference in hues superposed on each other.

Image processing apparatus and image processing method

An image processing apparatus includes: a converting unit configured to convert a color of input image data based on information representing a correspondence between a brightness level and a color, and generate converted image data; and a setting unit configured to set a gradation characteristic of the input image data, wherein the converting unit converts the color of the input image data based on information representing a first correspondence in a case where the gradation characteristic set by the setting unit is a first gradation characteristic, and converts the color of the input image data based on information representing a second correspondence in a case where the gradation characteristic set by the setting unit is a second gradation characteristic.

Image forming apparatus

An image forming apparatus includes a conversion unit, a correction unit, an image forming unit, a measurement unit, first, second, and third generation units, a reading unit, an input unit, and a determination unit. Image data of a color components indicating one pixel based on a multidimensional table is converted and then corrected based on one-dimensional tables corresponding to the color components. An image is formed on a sheet based on the corrected image data. A measuring image formed on the sheet is measured. The multidimensional table can be generated based on a multi-color first measuring image. The one-dimensional table can be generated based on a second measuring image. A pattern image formed on the sheet is read. The one-dimensional table can be generated based on a pattern image for each of the color components on the sheet. Input user instructions indicated how the one-dimensional table is generated.

Profiling data spacing for different halftone states using a single tone reproduction curve

Methods and devices calibrate a printing device to develop a single calibration tone reproduction curve associated with a first halftone state for the printing device, and calculate a primary color profile for the first halftone state and secondary color profiles for the secondary halftone states available with the printing device based on a previously calculated relationship between the first halftone state and the secondary halftone states. Subsequently, these methods and devices receive a print job and such methods identify the secondary halftone state of the print job. With this, the methods and devices can identify a secondary color profile from the secondary color profiles that corresponds to the secondary halftone state and raster image process the print job using the secondary color profile to produce rasterized output. Then, these methods and devices print the rasterized output on print media using a print engine of the printing device.

Accommodating creative white point

Methods and apparatus implementing and using techniques for white balancing image data while performing chromatic adaptation. A creative white point corresponding to a visual appearance of white selected for projection of image data can be obtained. A color transform for converting the image data to a device-independent color space can be obtained. A chromatic adaptation matrix can be calculated based on the creative white point and a reference white point. A color profile for white balancing of the image data can be prepared to include the color transform and the chromatic adaptation matrix.

SATURATION ENHANCEMENT METHOD AND DEVICE BASED ON FUZZY CONTROL

The invention provides a saturation enhancement method and device based on fuzzy control. The saturation control method based on fuzzy control utilizes a fuzzy system to output an enhancement weight according to the saturation component, value component and detail information or saturation component, intensity component, and detail information of an input image, and feeds back the enhancement weight to the enhancement function, to change the enhancement intensity of the saturation component. As such, the color uncertainty caused by saturation enhancement can be avoided, and the loss of detail information in saturation enhancement can be reduced.

Determination of tone value increase from a printed image

Systems and methods for analyzing printed images are provided. One system includes a processing circuit configured to: determine a set of one or more locations on the printed image on the substrate to measure color values; determine a set of input tone values for the at least one ink; receive a set of measured color values corresponding to the set of locations on the printed image from a sensor; and determine a tone value increase error based on the set of measured color values and the set of input tone values. The at least one processing circuit is configured to determine the tone value increase error without requiring measured color values from an area having solid ink.

Automatic color saturation enhancement

A method of processing a digital color image comprising the steps of: providing a digital color image having pixels and a plurality of color channels; processing the image to provide a channel independent restored digital image; determining at least one predictor derived from the channel independent restored digital image or the digital color image; determining a channel interdependent color boost relationship from the at least one predictors; and applying the color boost relationship on a pixel by pixel basis to the respective channels of the digital color image to produce a processed digital color image.

Determination of tone value increase from a printed image

Systems and methods for analyzing printed images are provided. One system includes a processing circuit configured to: determine a set of one or more locations on the printed image on the substrate to measure color values; determine a set of input tone values for the at least one ink; receive a set of measured color values corresponding to the set of locations on the printed image from a sensor; and determine a tone value increase error based on the set of measured color values and the set of input tone values. The at least one processing circuit is configured to determine the tone value increase error without requiring measured color values from an area having solid ink.

Color separation apparatus, color separation method, and non-transitory computer-readable medium

A color separation apparatus comprising: a target value acquisition device; a dot threshold data candidate selection device; a print profile acquisition device which acquires a print profile showing correspondence between device signal values and color system values in the printer for each of the candidates of dot threshold data; and a color separation device which allows the printer to calculate candidates of the device signal values on the basis of the target values of colors acquired by the target value acquisition device and the print profile, and determines dot threshold data for reproducing colors corresponding to the target values on the basis of the candidates of dot threshold data and the print profile from among the candidates of dot threshold data, as well as determines device signal values for reproducing colors corresponding to the target values from among the candidates of device signal values.

Color document printing system for selecting a combination of colors based on contrast and cost

The different illustrative embodiments provide a method and apparatus for managing a set of colors in a document. A plurality of respective costs are identified. Each respective cost is associated with printing the document using a respective combination of a plurality of combinations of the set of colors. An amount of contrast for a first respective combination is identified using a contrast matrix. A determination is made as to whether the amount of contrast for the first respective combination and an associated respective cost meet a set of criteria. Responsive to a determination that the set of criteria is met, the document is printed using the first respective combination.

Image processing apparatus and method encoding multi-valued image generated with fewer values

An image processing apparatus includes a determining unit that determines whether image data includes multi-valued drawing information for drawing a multi-valued image; a multi-valued drawing unit that draws the multi-valued image of the image data when the multi-valued drawing information is determined to be included in the image data; a less-than-multi-valued drawing unit that draws a less-than-multi-valued image of the image data when the multi-valued drawing information is not determined to be included in the image data; a value-count reducing image processing unit that reduces number of values of a drawing result of the multi-valued image to generate an image with a fewer number of values; and a less-than-multi-valued encoding processing unit that encodes a drawing result obtained by drawing the less-than-multi-valued image and encodes the generated image with the fewer number of values.

Color correction based on multiple images

In some implementations, a method provides color corrections based on multiple images. In some implementations, a method includes determining one or more characteristics of each of a plurality of source images and determining one or more similarities between the one or more characteristics of different source images. The source images are grouped into one or more groups of one or more target images based on the determined similarities. The method determines and applies one or more color corrections to the one or more target images in at least one of the groups.

Method and computer program product for predicting spectral characteristics of ink applied to a base material

First relational equations which represent characteristics of respective sample colors are obtained, and for the respective sample colors, prediction values of spectral characteristics of characteristics-acquired gradation values for a prediction target color are obtained using the first relational equations. Difference values between the prediction values and actual measurement values are obtained, and a sample color for which a minimum difference value is obtained is selected as a reference color. A second relational equation that represents characteristics of the reference color is obtained, and a prediction value of spectral characteristics of a prediction target gradation value for the prediction target color is obtained using the second relational equation.

METHOD AND SYSTEM FOR REMOVAL OF FOG, MIST OR HAZE FROM IMAGES AND VIDEOS

PRINTER ON WHICH PICTURE RECOGNITION PROCESSOR FOR FORGERY PREVENTION IS MOUNTED, COMPUTER FOR PROVIDING PRINT SOURCE TO PRINTER, AND PRINT SYSTEM INCLUDING PRINTER AND COMPUTER

A method for preserving spatial detail when adjusting the tone scale of a digital color image, the method comprises receiving a digital color image; providing a tone scale function for adjusting the tone scale of the digital color image; generating a luminance signal from the digital color image; using the tone scale function and the control signal applied to each color channel of the digital color image to produce an enhanced digital color image.

DIGITAL EXPOSURE ADJUSTMENT FOR PHOTOGRAPHIC IMAGES

SOLID STATE IMAGE PICK-UP DEVICE

PURPOSE: To obtain a multi-level chrominance signal which is white-balanced by A/D converting a signal obtained by adjusting the DC components of a signal, which is obtained by logarithmic-transforming photoelectric current generated corresponding to an incident light quantity, to adjust white balance. CONSTITUTION: With regard to FET2, voltage Vss is applied to a source S and voltage Vsub and a reverse bias adjusted to make sub-threshold current flow through a substrate are applied to between the source S, a drain D and the substrate. On the other hand, photoelectric current in proportion to the intensity of incident light in a photodiode 1 applied with the reverse bias is logarithmic-trans formed with the FET2 and applied to the first electrode 22 of CCD as voltage Vg by FET 2. To the second electrode 23 of CCD next to the first electrode 22, reference voltage Vr is applied and a signal load is injected to CCD in accordance with difference between channel potential just under the electrodes ...

УСТРОЙСТВО РЕГУЛИРОВКИ ЦВЕТНОСТИ ИЗОБРАЖЕНИЯ, УСТРОЙСТВО ВОСПРОИЗВЕДЕНИЯ ИЗОБРАЖЕНИЯ И СПОСОБ РЕГУЛИРОВКИ ЦВЕТНОСТИ

Изобретение относится к обработке цветного изображения. Техническим результатом является обеспечение возможности регулировки цветов цветного изображения для облегчения различения показанных на изображении объектов. Предложены устройство регулировки цветности, устройство воспроизведения изображения и способ регулировки цветности для регулировки цвета цветного изображения для обеспечения более легкого различения объектов, представленных на изображении. Параметр определяет диапазон насыщенности, который должен быть отрегулирован при насыщении до регулировки цветности, и диапазон изменения насыщенности после регулировки цветности в сравнении с насыщенностью до регулировки цветности. Устройство регулировки цветности рассчитывает насыщенность на основании сигнала изображения, рассчитывает насыщенность после регулировки цветности в соответствии с насыщенностью до регулировки цветности, чтобы насыщенность в диапазоне, определенном параметром, увеличивалась/уменьшалась на величину, определенную ...

Color image processing apparatus and storage medium

The present invention provides a color image processing apparatus which reduces the amount of color materials consumed that are used to form a color image with reference to an index with high utility. To accomplish this, a color image forming apparatus of the present invention is a color image processing apparatus which applies image processing to image data of an input color image, and outputs the processed image data, and which changes tone values of respective colors of the color image, so that a conversion result obtained when image data of the color image are converted into amounts of color materials becomes an amount based on a reference conversion result, the reference conversion result being obtained when the image data are color-converted by a predetermined color conversion method and the converted data is further converted into an amount of a color material.

Image processing apparatus and image processing method for adaptively processing an image using an enhanced image and edge data

An image processing apparatus for automatically improving the contrast of an input image that is obtained from a digital camera or the like, and obtaining a sharper and clearing image. A contrast improvement unit performs a contrast improvement process on the input image by comparing an object pixel in the input image with pixels in the surrounding area. An image combination unit combines the enhanced image obtained by the contrast improvement process with the input image. The combined image is then output to a desired device such as a printer by an image output unit.

Image tone conversion apparatus, recording medium, and system

An image tone conversion apparatus includes: a region specifying section configured to specify a region of an original image, to which region an image tone conversion is to be performed; an image tone specifying section configured to specify a different type of image tone in accordance with an elapsed time since the region specifying section has specified the region; an image converting section configured to convert an tone of the original image in the region specified by the region specifying section to the image tone specified by the image tone specifying section; and a superimposing section configured to superimpose the image in the region to which the image tone conversion has been performed by the image converting section on the region of the original image specified by the region specifying section.

Halftone independent correction of spatial non-uniformities

A method and apparatus are provided for compensating for spatial non-uniformities in a printer by deriving a true spatial non-uniformity tone response curve (TRC) that characterizes the printer in terms of color output variation for each addressable pixel location in a spatial range. The “true average” tone response curve is determined for a color channel. A prediction of the true response as a function of the spatial location is derived by printing and scanning a specially designed halftone-independent target of binary patterns. The predicted tone response curve for each color channel and halftone is predicted using a binary printer model, wherein the “predicted tone response curve” provides a model based approximation of the actual response for each addressable pixel location in the spatial range. Also stored is an “average predicted tone response” by averaging the “predicted tone response curve” over the spatial range of the printer.

Method and apparatus for estimating light source

A method and apparatus for estimating a light source in an image obtained by an image device are provided. The light source estimating apparatus includes: a brightness-color correlation calculator which calculates brightness-color correlation data from an image of an object generated from at least one image frame; a color balance calculator which calculates a color balance of an entire region of the image and a color balance of a neutral gray region of the image having an average color of gray; a characteristic data generating unit which generates characteristic data of the image based on the brightness-color correlation data, the color balance of the entire region and the color balance of the neutral gray region; and an identifier which determines a type of a light source in the image, based on the characteristic data of the image.

Method for digital image adaptation for printing an image on a printing apparatus

An image dependent gamut mapping method for mapping source colors of an image to destination colors reproducible by a printing apparatus, each source color having a lightness component within a range between a source white point and a source black point, and each destination color having a lightness component within a range between a destination white point and a destination black point. A composed transfer function maps the source white point onto the destination white point and the source black point onto the destination black point, applying the composed transfer function on each lightness component of source colors of at least a part of the image. The transfer function is composed of linear mappings. The steepness of each linear mapping is determined by a mathematical optimization problem intended to preserve lightness and contrast in the image produced by the printing apparatus under the conditions of at least one constraint.

Image processing method, image processor, and image display system

An image processing method, which performs color correction on a superimposed image obtained by superimposing a first image formed by a first image forming unit and a second image formed by a second image forming unit, includes controlling the dimming of the first image forming unit and the second image forming unit on the basis of dimming rates set in the first image forming unit and the second image forming unit in response to a given designated dimming rate, and performing a color correction process on image signals corresponding to the first image forming unit and the second image forming unit using a color correction value corresponding to the dimming rates of the first image forming unit and the second image forming unit.

Method to enhance detailed information

A method for enhancing detail information in rasterized, continuous tone images includes a function that enlarges the contrast of a pixel in a neighborhood of pixels when in that neighborhood one of the pixels has a value that is close to a white color. This is determined by selecting the whitest pixel in the neighborhood. The function shows a gradual transition between the situations in which the whitest pixel is close to the white color and in which the whitest pixel is far from the white color. The method results in a better rendering of fine print when the image is sent to a printing system that reproduces the image on receiving material. For small characters, the legibility is improved by application of this method.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus may include a conversion unit, a determination unit, and a calculation unit to convert image data into color material data indicating a chromatic color material amount and an achromatic color material amount. The conversion unit converts image data of a pixel of interest into chromatic color material color material data. The determination unit determines achromatic color material color material data on the pixel of interest based on coloring information corresponding to the converted color material data of the chromatic color material and coloring information that occurs at surrounding pixels that surround the interest pixel. The calculation unit calculates coloring information that occurs at the interest pixel based on coloring information corresponding to a combination of the converted color material data of the chromatic color material and the determined color material data of the achromatic color material and the coloring information that occurs at the surrounding pixels. 1. An image processing apparatus configured to convert image data into color material data including color material data indicating a color material amount of a chromatic color material and color material data indicating a color material amount of an achromatic color material , the image processing apparatus comprising:a conversion unit configured to convert image data of a pixel of interest into the color material data of the chromatic color material;a determination unit configured to determine the color material data of the achromatic color material on the pixel of interest based on coloring information corresponding to the converted color material data of the chromatic color material and coloring information that occurs at surrounding pixels that surround the pixel of interest; anda calculation unit configured to calculate coloring information that occurs at the pixel of interest based on coloring information corresponding to a combination of the converted color ...

Creating a luminance effect using an icc profile

A method for creating a luminance effect, including: obtaining a source image in a red-green-blue (RGB) color space; obtaining a luminance effect parameter; generating an international color consortium (ICC) device link profile based on the luminance effect parameter; and converting the source image in RGB color space to a final image in RGB color space using a color conversion function with the ICC device link profile.

Image forming apparatus and density correction method

An image forming apparatus having density correction characteristic data and a section to execute density conversion on input image data includes a section to generate detecting patterns with multiple area ratios, a section to create images of the patterns on an image bearing member, a section to detect the images of the patterns created on the image bearing member, a section to hold detected values corresponding to the images of the patterns detected from the image bearing member, a section to obtain fixed values or previously detected values as target values for correction, and correction coefficients, a section to calculate a correction characteristic corresponding to the detecting patterns from the obtained target values, the detected values, and correction coefficients, and a section to synthesize new density correction characteristic data from the density correction characteristic data and the correction characteristic corresponding to the patterns.

OFF-GRAY BALANCE CALIBRATION FOR EXTENDED COLOR GAMUT

A printing system and associated method is provided which is capable of operating in a standard output color gamut mode and/or a non-standard output color gamut mode. According to an exemplary method, the printing system non-standard output color gamut mode is associated with an off-gray balance calibration to extend the gamut of the printing system to include colors outside the gamut associated with the standard output color gamut mode. 1. A method of performing an off-gray balance calibration of a printing system to print a non-standard gamut of colors , the printing system including an operator selectable non-standard gamut mode of operation associated with the off-gray balance calibration of the printing system and a standard gamut mode of operation associated with a gray balance calibration of the printing system , the method comprising:a) the printing system selectably operating in the non-standard gamut mode;b) an operator modifying one or more setpoints for one or more process parameters associated with modifying the gamut of the printing system associated with the standard gamut mode of operation, the process parameters related to a DMA (Developed Mass per unit Area) of one or more colorants associated with the printing system;c) the printing system printing a color sample set including a plurality of patches representing the gamut associated with the operator modified one or more setpoints for the one or more process parameters associated with modifying the gamut;d) the printing system generating one or more color look-up tables associated with the operator modified one or more setpoints for the one or more process parameters, and the printing system storing a set of measured color space values associated with a subset of the printed plurality of patches associated with an axis of constant hue;e) repeating steps b)-d), if necessary, until a final color sample set is selected by the user, the final color sample set associated with a final one or more color ...

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

An information processing apparatus include a priority information assigning unit configured to assign priority information indicating priority between a first area and a second area of a recording medium in an overlapping area of the areas to at least one of gloss-control plane data and clear plane data. The gloss-control plane data is used for specifying the first area to which a surface effect is to be applied and specifying a density value corresponding to a type of the surface effect. The clear plane data is used for specifying the second area in which a transparent image is to be formed and specifying a density value of the transparent image. The apparatus also includes a clear toner plane generating unit configured to generate clear toner plane clear toner plane data based on the gloss-control plane data and the clear plane data. 1. An information processing apparatus connected to a printing apparatus in which color toner and transparent clear toner are loaded , the printing apparatus forming an image on a recording medium based on color plane data for attaching the color toner to the recording medium and clear toner plane data for attaching the clear toner to the recording medium , the information processing apparatus comprising:a priority information assigning unit configured to assign priority information indicating priority between a first area of a recording medium and a second area of the recording medium in an overlapping area of the first area and the second area to at least one of gloss-control plane data and clear plane data, the gloss-control plane data being used for specifying the first area to which a surface effect is to be applied and specifying a density value corresponding to a type of the surface effect, the clear plane data being used for specifying the second area in which a transparent image is to be formed and specifying a density value of the transparent image; anda clear toner plane generating unit configured to generate clear toner ...

IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD

There is provided an image processing device which converts multi-gradation pixels configuring a multi-gradation image of image data to be used in a color image forming apparatus, into unit dither patterns. The image forming apparatus includes photosensitive members on which developer images are formed by supplying developer to electrostatic latent images, and an exposure device which exposes the photosensitive members. The developer images on the photosensitive members are transferred to a transferred medium which is moved while contacting the photosensitive members. The image processing device includes a processing unit which converts a multi-gradation pixel of a first color into unit dither patterns, each unit dither pattern consisting of a first line extending in a predetermined direction and a second line extending in a direction intersecting with the first line when a gradation value of the multi-gradation pixel is within a predetermined range. 1. An image processing device configured to convert multi-gradation pixels configuring a multi-gradation image of image data to be used in a color image forming apparatus , into unit dither patterns , the image forming apparatus including a plurality of photosensitive members on which developer images are formed by supplying developer to electrostatic latent images , and an exposure device configured to expose the photosensitive members to form the electrostatic latent images , wherein the developer images on the respective photosensitive members are transferred to a transferred medium which is moved while contacting the respective photosensitive members , the image processing device comprising:a processing unit configured to convert a multi-gradation pixel of a first color into unit dither patterns, each unit dither pattern consisting of a first line extending in a predetermined direction and a second line extending in a direction intersecting with the first line when a gradation value of the multi-gradation pixel is ...

Image capture apparatus and method of controlling the same

In an image capture apparatus and a method of controlling the apparatus which can apply image correction processing which influences the contrast of a shot image, image quality degradation of an image shot by using input-output characteristics where an output value logarithmically increases with a linear increase in input value is suppressed. When using input-output characteristics where an output value logarithmically increases with a linear increase in input value (S 101 ), internal functional blocks are controlled to invalidate image correction functions which influence the tone characteristics or contrast of an image (S 103 ).

Method and Apparatus for Image Data Transformation

Image data is transformed for display on a target display. A sigmoidal transfer function provides a free parameter controlling min-tone contrast. The transfer function may be dynamically adjusted to accommodate changing ambient lighting conditions. The transformation may be selected so as to automatically adapt image data for display on a target display in a way that substantially preserves creative intent embodied in the image data. The image data may be video data.

Image reading system, information processing apparatus, and storage medium

In an image reading system, when an automatic determination mode is designated as a color mode, a scanner does not determine the color of the read image but applies gamma correction to the image data of the image using the first correction characteristic. The scanner transmits the resultant image data to a PC. The PC determines the color of the image indicated by the received image data. When the determined color does not correspond to the first correction characteristic, the PC performs gamma correction of the received image data in accordance with the inverse characteristic of the first correction characteristic and then performs gamma correction using the second correction characteristic corresponding to the determined color.

Color Correction in Printing Systems

A method is described in which a first color is detected at a user-selected arbitrary position of a first print; a second color is detected at a user-selected arbitrary position of a second print printed by a printer; a color difference between the first color and the second color is determined; and settings of the printer are changed to reduce the color difference in further prints printed by the printer. 1. Method comprising:{'b': 102', '206', '26', '26', '22', '22', '22', '12, 'i': a,', 'b', 'a,', 'b, 'detecting (; ) a first color () at a user-selected arbitrary position (; ) of a first print ();'}{'b': 104', '208', '26', '26', '18', '18', '18', '16', '50, 'i': a', 'b', 'a,', 'b, 'defecting; (; ) a second color (′, ′) at a user-selected arbitrary position (; ) of a second print () printed by a printer ();'}{'b': 106', '212', '28', '28', '26', '26', '28', '26, 'i': a', 'b', 'a', 'b', 'a', 'b, 'determining (; ) a color difference (, ) between the first color (, ) and the second color (′, ′); and'}{'b': 108', '214', '50', '28', '28', '16', '50, 'i': a', 'b, 'changing (; ) a setting of the printer () to reduce the color difference (, ) in further prints (′) printed by the printer ().'}2222222121818181624242424aba,ba,b,ab. Method according to claim 1 , wherein the user-selected arbitrary position (; claim 1 , ) of the first print () and the user-selected arbitrary position (; ) of the second print () are regions (′ claim 1 , ′) intended to have the same color.348121664182418182424a,b,a,b. Method according to claim 1 , comprising adjusting a relative position between a sensor arrangement () and one of the first print () and the second print () based on a user input () specifying the user-selected arbitrary position ( claim 1 , ; ).46264. Method according to claim 3 , comprising presenting a graphical user interface (′) to permit the user input () by a user.512501416141450. Method according to claim 1 , comprising printing the first print () by the printer () prior to ...

Multi-area white-balance control device, multi-area white-balance control method, multi-area white-balance control program, computer in which multi-area white-balance control program is recorded, multi-area white-balance image-processing device, multi-area white-balance image-processing method, multi-area white-balance image-processing program, computer in which multi-area white-balance image-processing program is recorded, and image-capture apparatus

A multi-area white-balance control device includes a device that divides an inputted image into a plurality of areas, a device that estimates a white-balance correction gain for each of the divided areas, a device that determines whether the estimated white-balance correction gain of the area is peculiar or not, based on comparison with estimated white-balance correction gains of adjacent areas of the area and a device that modifies an estimated white-balance correction gain of an area determined to be peculiar, based on estimated white-balance correction gains of adjacent areas; and realizes color reproduction without unnaturalness even if white-balance correction gain estimation is wrong in an individual area.

REFERENCE COLOR SELECTION DEVICE, COLOR CORRECTION DEVICE, AND REFERENCE COLOR SELECTION METHOD

A reference color selection device includes a determination unit that compares a first and second magnitudes of a first second candidate colors with respect plural wavelengths and determines whether or not there is any wavelength that provides a reverse magnitude relationship between the first and second magnitudes reverse to a magnitude relationship at other wavelengths, the first and second candidate colors being included in a color group of reference colors used in color correction of a target color; and a selection unit that selects the color group as the reference colors when there is not a combination of the first and second candidate colors about which the determination unit determines that there is the wavelength that provides the reverse magnitude relationship in the color group to be the candidates of the reference colors. 1. A reference color selection device comprising:a determination unit that compares a first magnitude of a first candidate color and a second magnitude of a second candidate color with respect plural wavelengths and determines whether or not there is any wavelength that provides a reverse magnitude relationship between the first and second magnitudes reverse to a magnitude relationship at other wavelengths, the first and second candidate colors being included in a color group to be candidates of plural reference colors that are used in color correction of a target color, the color correction being performed by an interpolation process by using the plural reference colors; anda selection unit that selects the color group as the reference colors when there is not a combination of the first candidate color and the second candidate color about which the determination unit determines that there is the wavelength that provides the reverse magnitude relationship in the color group to be the candidates of the reference colors.2. The reference color selection device according to claim 1 , further comprising:a storage unit that in advance stores ...

IMAGE PROCESSING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

An image processing apparatus for converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range obtains information of sizes of the first range and the second range, divides the first image based on the information such that the number of areas obtained by dividing the first image when a ratio of the second range to the first range is a first value becomes smaller than that when the ratio is smaller than the first value, sets, for each of the areas, relationship information that associates input brightness values in the first range with output brightness values in the second range, and converts brightness values of pixels included in the first image into brightness values of pixels of the second image based on the relationship information. 1. An image processing apparatus for executing image processing of converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range and outputting the second image , comprising:at least one processor; andat least one memory coupled to the at least one processor, wherein the at least one memory stores a computer program that causes, when executed by the at least one processor, the image processing apparatus to:obtain information of a size of the first range and information of a size of the second range;divide the first image based on the obtained information such that the number of areas obtained by dividing the first image in a case in which a ratio of the second range to the first range is a first value becomes smaller than the number in a case in which the ratio is a second value smaller than the first value; andset, for each of the areas, relationship information that associates an input brightness value in the first range with an output brightness value in the second range, and converts a brightness value of a pixel included in the first image into a ...

Image processing apparatus, image processing method, and non-transitory computer-readable storage medium

An image processing apparatus comprises: an obtaining unit configured to obtain a dynamic range of a captured image on captured image data; a determination unit configured to determine a dynamic range of a printed product when viewed obtained by printing the captured image based on the captured image data, based on printing information on viewing of the printed product; and a conversion unit configured to perform conversion processing for luminance of the captured image data to the dynamic range determined by the determination unit from the dynamic range obtained by the obtaining unit.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

An apparatus comprises a unit configured to generate gradation data corresponding to an achromatic color generated by combining two or more colors among a plurality of colors, for an excess amount of a total gradation value exceeding a predetermined value, the total gradation value being a sum of gradation values of the plurality of colors used for recording a pixel of interest, and generate gradation data corresponding to the plurality of colors, based on the generated gradation data corresponding to the achromatic color; and a unit configured to quantize the generated gradation data, and generate data to control recording of dots corresponding to the pixel of interest. The predetermined value is a gradation value indicating whether or not to record the dots in an overlapping manner, in case that the dots corresponding to the total gradation value are recorded. 2. The image processing apparatus according to claim 1 , wherein the first generating unit generates the gradation data corresponding to the plurality of colors claim 1 , by acquiring a minimum value among the gradation values of the plurality of colors and a value according to the excess amount claim 1 , and by subtracting the minimum value from the gradation values of the plurality of colors.3. The image processing apparatus according to claim 2 , wherein the value according to the excess amount is a half value of the excess amount.4. The image processing apparatus according to claim 1 , wherein the first generating unit generates gradation data in ascending order of density of colors when being superimposed.5. The image processing apparatus according to claim 4 , wherein the first generating unit preferentially generates the gradation data corresponding to the achromatic color.6. The image processing apparatus according to claim 1 , wherein the second generating unit calculates a threshold value to be used for quantizing target gradation data among gradation data generated by the first generating unit ...

Image processing device, image forming device, image forming system, and image processing program

Provided is an image processing device used for image processing in an image forming device that executes linear image forming in a first direction repeatedly in a second direction orthogonal to the first direction and executes two-dimensional image forming on a recording medium, the image processing device including: a processor configured to: acquire a phase of a member that contributes to image forming by rotating or circulating in the second direction and calculate, for each of different phases, an input/output gradation characteristic indicating a correspondence relationship in density in the same pixels in pre-output image data and post-output image data acquired by scanning of an image formed on the recording medium; calculates correction data to solve a difference between the input/output gradation characteristic in each of the phases and a reference input/output gradation characteristic; and correct the pre-output image data with the correction data of each of the phases.

Image processing apparatus, image processing method, and storage medium

An image processing apparatus is provided with an input unit for inputting an image; a division unit for dividing the inputted image into a plurality of divided regions; an obtaining unit for obtaining a feature amount of the image for each of the divided regions; a generation unit for generating a compression curve for each divided region; and a compression unit for generating an output image by performing compression of a dynamic range using the compression curve for each of the divided regions, wherein the generation unit generates the compression curve for each of the divided regions so that a slope of the compression curve for each of the divided regions matches in a range from a luminance of a dark region of the image to a luminance of a predetermined brightness.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

An image processing apparatus sets, for at least one portion of a first image in which a brightness range is a first range, relationship information which associates an input brightness value with an output brightness value, changes, based on the relationship information, brightness values of pixels in the portion, and outputs a second image which has a second range of brightness. The relationship information is generated so as to associate, with each of the brightness values of the pixels in the portion, an output brightness value which does not exceed a value higher than the brightness value by a predetermined value, and to associate, with a brightness value which is not less than a feature amount among the brightness values of the pixels in the portion, a predetermined output brightness value falling within a predetermined range. 1. An image processing apparatus , comprising:at least one processor; andat least one memory coupled to the at least one processor, wherein the at least one memory stores an instruction that causes, when executed by the at least one processor, the image processing apparatus to:set, for at least one portion of a first image in which a brightness range is a first range, relationship information which associates an input brightness value with an output brightness value;change, based on the relationship information, brightness values of pixels included in the at least one portion of the obtained first image; andoutput a second image which has a second range of brightness narrower than the first range and in which the brightness values of the pixels are changed,wherein the instruction causes the image processing apparatus to:in the setting,specify a feature amount related to the brightness values included in the at least one portion of the first image, andgenerate the relationship information so as to associate, with each of the brightness values of the pixels included in the at least one portion of the first image, an output brightness value ...

Method of processing data by an iterative application of a same lut

Instead of using a single LUT to model a processing function, it is proposed to use another smaller LUT, i.e. an iterative LUT, such that, when applied at least two times in succession to data to process, the same processing function is modeled with at least the same accuracy. A specific way to compute this iterative LUT is given. Specific applications are given in the field of color processing. Modeling is more accurate and/or less bins are needed to model complex functions.

METHOD AND DEVICE FOR ADAPTING A DISPLAY VISIBILITY

In a context of varying ambient luminosity, a salient idea is to adjust an image by adapting the contrast of an image according to a level of ambient light. Enhancing the contrast is known to make a displayed object more distinguishable, with some impact on the overall image quality. Increasing a level of contrast enhancement as the ambient light increases, advantageously allows to preserve distinguishable displayed objects in high levels of ambient light, despite an overall loss of quality, less perceivable in high levels of ambient light. 1. A method comprising:measuring a level of ambient luminosity;modifying a low frequency portion of a signal representing an image by applying a transfer function to the low frequency portion, the transfer function depending on the level of ambient luminosity;adjusting the image by combining the modified low frequency portion of the signal with a high frequency portion of the signal; andadapting a display visibility of the image by providing the adjusted image for display on a display device.2. The method according to claim 1 , wherein the image adjustment is performed or not performed as a function of the level of ambient luminosity.3. The method according to claim 1 , wherein the high frequency portion is amplified with a coefficient depending on the level of ambient luminosity claim 1 , prior to be combined with the modified low frequency portion.4. The method according to claim 3 , wherein a parameter of the transfer function is obtained by a first function increasing with the level of ambient luminosity.5. The method according to claim 3 , wherein the coefficient is obtained by a second function increasing with the level of ambient luminosity.6. The method according to claim 3 , wherein the coefficient is obtained by a fourth function decreasing with a perceived contrast level claim 3 , the perceived contrast level representing a combination of a contrast level of the image and the level of ambient luminosity.7. The method ...

Image processing apparatus, image processing system, and non-transitory recording medium

An image processing apparatus includes circuitry configured to receive a designation of a to-be-corrected color that is a process color or a special color different from the process color and is to be corrected; identify, on the basis of the designation, a tone correction pattern, and generate rendering data of the tone correction pattern to be used for forming an image on a recording medium; obtain a standard value of the to-be-corrected color; and correct the to-be-corrected color on the basis of a difference between a color measuring result obtained from measuring a color of the image, of the tone correction pattern formed on the recording medium and the standard value.

ABNORMAL-PIXEL DETECTING DEVICE, IMAGE FORMING APPARATUS, AND METHOD OF DETECTING ABNORMAL PIXEL

An abnormal-pixel detecting device includes an image sensor and an image processor. The image sensor is configured to capture an image of a subject. The image processor is configured to calculate: a ratio between a first plurality of pixel values captured by the image sensor and a second plurality of pixel values whose reference position is shifted relative to the first plurality of pixel values in a main scanning direction to obtain a third plurality of pixel values; and detect an abnormal pixel in the third plurality of pixel values. 1. An abnormal-pixel detecting device comprising:an image sensor configured to capture an image of a subject; and calculate a ratio between a first plurality of pixel values captured by the image sensor and a second plurality of pixel values whose reference position is shifted relative to the first plurality of pixel values in a main scanning direction to obtain a third plurality of pixel values; and', 'detect an abnormal pixel in the third plurality of pixel values., 'an image processor configured to2. The abnormal-pixel detecting device according to claim 1 ,wherein the image sensor is configured to read an image of an identical subject to obtain the first plurality of pixel values and the second plurality of pixel values.3. The abnormal-pixel detecting device according to claim 1 ,wherein the image processor is configured to detect, as an abnormal pixel, a pixel having a pixel value outside a threshold range.4. The abnormal-pixel detecting device according to claim 1 ,wherein the image processor is configured to detect, as an abnormal pixel, a pixel having a pixel value that has changed by a threshold value or greater with respect to a pixel value of a surrounding pixel.5. The abnormal-pixel detecting device according to claim 1 ,wherein the image processor is configured to set a shift amount of the reference position of the second plurality of pixel values relative to the first plurality of pixel values in the main scanning ...

IMAGE FORMING APPARATUS, TEST IMAGE, AND OUTPUT DENSITY ADJUSTMENT METHOD OF IMAGE FORMING APPARATUS

An image forming apparatus includes an image forming unit and a control unit. The image forming unit forms a test image based on test image data. The test image data includes a first image area and a second image area. The first image area is disposed adjacent to the second image area. The first image area is an image area including a mixed color image of a first primary color and a second primary color and has the same gradation value in a main scanning direction. The second image area is an image area of the second primary color and has the same gradation value in the main scanning direction. The control unit corrects a correction table based on the test image formed in the image forming unit. In the correction table, for each primary color, the gradation value is corrected according to a position in the main scanning direction. 1. An image forming apparatus comprising:an image forming unit configured to form a test image based on test image data including a first image area and a second image area, the first image area being an image area including a mixed color image of a first primary color and a second primary color, the first image area having a same gradation value in a main scanning direction, the second image area being an image area of the second primary color and having a same gradation value in the main scanning direction, the first image area being disposed adjacent to the second image area; anda controller configured to correct a correction table for correcting the gradation value according to a position in the main scanning direction for each of the primary colors based on the test image.2. The apparatus according to claim 1 ,wherein the mixed color image has gradation values of the first primary color and the second primary color changed in a sub-scanning direction.3. The apparatus according to claim 2 ,wherein the first image area and the second image area are divided into a plurality of density ranges, andthe first image area is disposed adjacent ...

IMAGE SCANNER

An image scanner is configured to: while changing a reading position by a position changer and sequentially emitting light of each of three colors in a turn-on sequence from a light source to a document, control a line sensor to read reflection light of emitted light, thereby acquiring gradation image data including gradation values of three colors for each pixel in one line; determine whether a top color shift occurs in the gradation image data at a determination position; in response to determining that the top color shift occurs at the determination position, replace gradation image data at the determination position with black image data; determine whether a bottom color shift occurs in the gradation image data at the determination position; and in response to determining that the bottom color shift occurs at the determination position, replace gradation image data at the determination position with white image data. 1. An image scanner comprising:a light source configured to emit light of each of three colors of red, blue, and green;a line sensor configured to read an image, on a document, of one line along a first direction;a position changer configured to change a reading position in a second direction perpendicular to the first direction, the reading position being a position of the image of one line that is read by the line sensor; and while changing the reading position by the position changer and sequentially emitting light of each of the three colors in a turn-on sequence from the light source to the document, control the line sensor to read reflection light of the emitted light, thereby acquiring gradation image data including gradation values of the three colors for each pixel in one line;', 'determine whether a top color shift occurs in the gradation image data at a determination position that is a position of a particular pixel in one line, the top color shift being caused by a change of an image to be read, in the second direction, from a white ...

IMAGE PROCESSING DEVICES AND IMAGE PROCESSING METHODS

According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; a selecting circuit configured to select a reference image from the input images; a weighting determination circuit configured to determine at least one weighting for each pixel of the input image data based on the selected reference image; an output image determination circuit configured to determine an output image based the determined weightings; and an output circuit configured to output the output image. 1. An image processing device comprising:an input circuit configured to receive input image data comprising pixels related to varying exposure times;a selecting circuit configured to select a reference image from the input images;a weighting determination circuit configured to determine at least one weighting for each pixel of the input image data based on the selected reference image;an output image determination circuit configured to determine an output image based the determined weightings; andan output circuit configured to output the output image.2. The image processing device of claim 1 ,wherein the weighting determination circuit is configured to determine an exposedness level weighting and a similarity weighting.3. The image processing device of claim 1 ,wherein one of the input images is selected as the reference image, and the weighting determination circuit is configured to determine a similarity weighting of all pixels in the input images with respect to the reference image.4. The image processing device of claim 3 ,wherein the similarity weighting of a pixel is close to one if the pixel and its collocated pixel in the reference image are consistent.5. The image processing device of claim 3 ,wherein the similarity weighting of a pixel is close to zero if the pixel and its collocated pixel in the reference image are not ...

Information processing apparatus, method for processing information, and computer program

An information processing method includes calculating at least one difference value between a pixel value of a target pixel in an input image obtained by capturing a document image and a pixel value of a corresponding pixel in a shade component image at coordinates identical to those of the target pixel. The shade component image represents shade components of the input image. The shade components depend on an image capture environment. The method further includes correcting the pixel value of the target pixel in the input image based on a correction rate to correct a shade component in the target pixel. The correction rate depends on at least one difference value associated with the target pixel in the input image.

INFORMATION PROCESSING APPARATUS, METHOD FOR PROCESSING INFORMATION, AND COMPUTER PROGRAM

An information processing method includes determining, in a luminance image that represents luminance components of an input image obtained by capturing a document image, a shaded region affected by shade and a specific pixel region including specific pixels less affected by the shade through a color of an object in the document image by using the luminance components of pixels of the luminance image, and generating a shade image that represents shade components of the input image by referring to pixel values of pixels adjacent to the specific pixels and repeating replacement processing of replacing a pixel value of each of the specific pixels with a value of the shaded region adjacent to the specific pixel until the specific pixel region disappears. 1. A method for processing information , the method comprising:determining, in a luminance image that represents luminance components of an input image obtained by capturing a document image, a shaded region affected by shade and a specific pixel region including specific pixels less affected by the shade through a color of an object in the document image by using the luminance components of pixels of the luminance image; andgenerating a shade image that represents shade components of the input image by referring to pixel values of pixels adjacent to the specific pixels and replacing a pixel value of each of the specific pixels with a value of the shaded region adjacent to the specific pixel,wherein in the generating, replacing a pixel value of each of the specific pixels with the value of the adjacent shaded region is repeated until the specific pixel region disappears in or from the luminance image.2. The method according to claim 1 , wherein the specific pixels each have a color component different from a color component of the shade in the luminance image by a predetermined threshold value or more.3. The method according to claim 1 , further comprising:segmenting the input image into a plurality of blocks;obtaining ...

Image Capture Accelerator

An image capture accelerator performs accelerated processing of image data. In one embodiment, the image capture accelerator includes accelerator circuitry including a pre-processing engine and a compression engine. The pre-processing engine is configured to perform accelerated processing on received image data, and the compression engine is configured to compress processed image data received from the pre-processing engine. In one embodiment, the image capture accelerator further includes a demultiplexer configured to receive image data captured by an image sensor array implemented within, for example, an image sensor chip. The demultiplexer may output the received image data to an image signal processor when the image data is captured by the image sensor array in a standard capture mode, and may output the received image data to the accelerator circuitry when the image data is captured by the image sensor array in an accelerated capture mode. 1. A camera system , comprising:an image sensor configured to produce image data representative of light incident upon the image sensor; an input configured to receive the image data from the image sensor;', 'a compression engine configured to decimate the received image data into a plurality of image sub-band components;', 'a processing engine configured to perform one or more image processing operations on the received data to produce first processed image data at a first resolution, and to perform one or more image processing operations on a first image sub-band component of the plurality of image sub-band components to produce second processed image data at a second resolution lower than the first resolution;', 'a first output configured to output the first processed image data; and', 'a second output configured to output the second processed image data., 'an image signal processor integrated circuit chip (“ISP”), comprising2. The camera system of claim 1 , wherein the first processed image data and the second processed ...

Motion Estimation And Detection In A Camera System Accelerator Architecture

An image capture accelerator performs accelerated processing of image data. In one embodiment, the image capture accelerator includes accelerator circuitry including a pre-processing engine and a compression engine. The pre-processing engine is configured to perform accelerated processing on received image data, and the compression engine is configured to compress processed image data received from the pre-processing engine. In one embodiment, the image capture accelerator further includes a demultiplexer configured to receive image data captured by an image sensor array implemented within, for example, an image sensor chip. The demultiplexer may output the received image data to an image signal processor when the image data is captured by the image sensor array in a standard capture mode, and may output the received image data to the accelerator circuitry when the image data is captured by the image sensor array in an accelerated capture mode. 1. A camera system , comprising:an image sensor chip configured to produce image data representative of light incident upon the image sensor chip; an input configured to receive the image data from the image sensor chip;', 'a decimator configured to decimate the received image data into a plurality of image sub-band components;', 'a motion detection engine configured to generate a motion map based on a first subset of the plurality of image sub-band components;', 'a motion estimation engine configured to generate a set of motion vectors based on the generated motion map and a second subset of the plurality of image sub-band components; and', 'an output configured to output one or more of the received image data and the set of motion vectors., 'an image signal processor chip (“ISP”) configured to process the image data, the ISP comprising2. The camera system of claim 1 , wherein the first subset of image sub-band components comprises a low/low image sub-band component claim 1 , a low/high image sub-band component claim 1 , and ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus sets a threshold value matrix for each of multiple color materials, and uses the set threshold value matrix to acquire a first threshold value. On the other hand, the image processing apparatus sets reference data on the basis of multivalued data of that color material. Then, the image processing apparatus calculates a second threshold value matrix by performing a predetermined process on the first threshold value on the basis of the reference data for that color material. Further, by comparing the second threshold value with the multivalued data, quantization data for printing a dot is generated. When doing this, the threshold value matrix and the reference data for that color material are set so as to make the graininess of a dot pattern of that color material lower than the graininess of a mixed color dot pattern obtained by mixing dot patterns of the respective multiple color materials. 114-. (canceled)15. An image processing apparatus for printing an image on a print medium with use of inks of multiple colors including at least an ink of a first color , an ink of a second color different from the first color , and an ink of a third color having higher lightness than the first and second colors , the image processing apparatus comprising:an acquisition unit configured to acquire first, second, and third pieces of multivalued data respectively corresponding to the inks of the first, second, and third colors; anda generation unit configured to generate first, second, and third pieces of quantization data respectively corresponding to the inks of the first, second, and third colors on a basis of the first, second, and third pieces of multivalued data acquired by the acquisition unit, and mutually different first and second threshold value matrices each configured to include arrayed multiple threshold values, whereinthe generation unit (i) generates the first quantization data on a basis of the first multivalued data acquired by the ...

RESTORATION FILTER GENERATION DEVICE AND METHOD, IMAGE PROCESSING DEVICE, IMAGING DEVICE, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

A restoration filter generation device that generates a restoration filter for a restoration process on the basis of a point spread in an optical system, the restoration process being performed on luminance system image data as image data concerning a luminance which is generated on the basis of image data for each color of plural colors acquired by an image pickup device having the optical system, the restoration filter generation device includes a first transfer function acquisition device, a correction information acquisition device, a second transfer function acquisition device, a third transfer function calculation device, and a restoration filter generation device that generates the restoration filter for the restoration process on the basis of the third transfer function calculated by the third transfer function calculation device. 1. A restoration filter generation device that generates a restoration filter for a restoration process on the basis of a point spread in an optical system , the restoration process being performed on luminance system image data as image data concerning a luminance which is generated on the basis of image data for each color of plural colors acquired by an image pickup device having the optical system , the restoration filter generation device comprising:a first transfer function acquisition device that acquires a first transfer function regarding the point spread in the optical system for each color of the plural colors;a correction information acquisition device that, in a case where magnification chromatic aberration caused by the optical system is corrected by scaling up or down the image data for each color of the plural colors, acquires correction information indicating a correction amount or a correction residual amount of the magnification chromatic aberration, for each color of the plural colors;a second transfer function acquisition device that acquires a second transfer function obtained by parallelly translating the ...

Video output checker

A video output checker ( 23 ) is described. The video output checker is configured to receive incoming video data ( 20 ) for rendering an image on a display ( 17 ). The video data comprises pixel data which comprise, for each pixel ( 42 ), a set of colour component values ( 57, 57 2, 57 3 ) for a given colour model. The video output checker can be configured to compare each colour component for a pixel in a selected area ( 24 ) of the image with a corresponding test range of values ( 5 1 L, 5 1 U, 5 2 L, 5 2 U, 5 3 L, 5 3 U) and, if a component value falls outside the range, to measure a deviation. The video 10 output checker can be configured to sum deviations for the selected area to provide an error value ( 58 ) for the selected area, and to compare the error value against a threshold number ( 59 ). Additionally or alternatively, the video output checker can be configured to determine whether each colour component for a pixel in a selected area ( 24 ) of the image falls within a corresponding test range of values ( 5 1 L, 5 1 U, 5 2 L, 5 2 U, 1 5 3 L, 5 3 U) so as to determine whether the pixel is valid or invalid and to count the number ( 58 ) of valid or invalid pixels in the selected area. The video output checker is configured to compare the number of valid or invalid pixels against a threshold number ( 59 ).

PRINTER, PRINTING SYSTEM, AND CARD MANUFACTURING METHOD

An input unit receives first image data to be printed with a first ink. A luminance value calculator calculates the luminance value of each pixel included in the first image data. A luminance value converter converts the luminance value to a value which is equal to or greater than a previously-set luminance setting lower limit, and is equal to or less than a previously-set luminance setting upper limit. A printing unit prints a first image based on the first image data with the luminance values converted by the luminance value converter on a print body with a first ink, and prints a second image based on second image data on the print body with a glossy second ink to form a glossy image including the first and second images superimposed on the print body. 1. A printer comprising:an input unit configured to receive first image data;a luminance value calculator configured to calculate the luminance value of each pixel included in the first image data;a luminance value converter configured to convert the luminance value to a value which is equal to or greater than a previously-set luminance setting lower limit and is equal to or less than a previously-set luminance setting upper limit; anda printing unit configured to print a first image based on the first image data with the luminance values converted by the luminance value converter, on a print body with a first ink, and to print a second image based on second image data on the print body with a glossy second ink to form a glossy image including the first and second images superimposed on the print body.2. The printer according to claim 1 , wherein the luminance setting lower and upper limits are configured based on a first reflection density value and a second reflection density value claim 1 , or based on a third reflection density value and a fourth reflection density value claim 1 ,the first reflection density value is the density value of the first image when the first image is seen in a first direction;the ...

SYSTEMS AND METHODS OF PROCESSING SCANNED DATA

An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments yielding efficiency gains for a large variety of business processes. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system allows multiple users to access the same acquisition device for analog data. In some embodiments, one or more users can virtually reacquire data provided by multiple analog or digital sources. The acquired raw data can be processed by each user according to his personal preferences and/or requirements. The preferred processing settings and attributes are determined interactively in real time as well as non real time, automatically and a combination thereof. 1. A computer-implemented data processing method comprising:receiving image data from a data acquisition device;analyzing at least portions of the image data to determine whether the image data is within a first set of parameters;generating a first set of processor settings when the image data is not within the first set of parameters;processing the image data with the first set of processor settings to generate processed data;analyzing at least portions of the processed data to determine whether the processed data is within a second set of parameters and if not, generating a second set of processor settings to reprocess the image data;reprocessing the image data using the second set of processor settings to generate reprocessed data; andoutputting at least one of the processed data and the reprocessed data,wherein the second set of parameters is different than the first set of parameters, andwherein the first ...

Driving circuit of processing high dynamic range image signal and display device having the same

A driving circuit configured to receive metadata and image signals, the driving circuit comprising: a meta-data parsing circuit configured to parse the metadata and output parsed metadata; an image analyzing and data processing circuit configured to analyze the image signals based on the parsed metadata and output a parameter and data signals; a reference voltage selector configured to output a reference voltage selection signal based on the parameter and the parsed metadata; a grayscale voltage generator configured to select a plurality of reference voltages in response to the reference voltage selection signal and generate a plurality of grayscale voltages based on the selected reference voltages; and an output circuit configured to convert the data signals to data voltage signals based on the grayscale voltages.

METHODS AND APPARATUS FOR ENHANCING OPTICAL IMAGES AND PARAMETRIC DATABASES

Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation. The apparatus also includes a reconstructor that reconstructs an enhanced image from the modified representation and returns the enhanced image. 1. A method , comprising ,identifying a parametric database having one or more dimensions of varying parameter values: the parametric database having a unique parameter sampling resolution;', 'a frequency isolation representation at that resolution; and', 'a frequency blended representation of the parametric database at that resolution;, 'enhancing the parametric database utilizing a pyramid data structure that includes a plurality of pyramid levels as an input to and output from a frequency blender to generate an enhanced parametric database, wherein each of the plurality of levels of the pyramid data structure includes instances ofutilizing the frequency blender with dynamic headroom management and throttling to perform the blending of a plurality of levels; andreturning the enhanced parametric database.2. The method of claim 1 , further ...

DEVICES AND METHODS FOR HIGH DYNAMIC RANGE VIDEO

Systems and methods of the invention merge information from multiple image sensors to provide a high dynamic range (HDR) video. The present invention provides for real-time HDR video production using multiple sensors and pipeline processing techniques. According to the invention, multiple sensors with different exposures each produces an ordered stream of frame-independent pixel values. The pixel values are streamed through a pipeline on a processing device. The pipeline includes a kernel operation that identifies saturated ones of the pixel values. The streams of pixel values are merged to produce an HDR video. 1. A method for producing real-time HDR video , the method comprising:streaming pixel values from each of multiple sensors in a frame independent-manner through a pipeline on a processing device, wherein the pipeline includes a kernel operation that identifies saturated pixel values; andmerging the pixel values to produce an HDR image.2. The method of claim 1 , wherein the merging step excludes at least some of the saturated pixel values from the HDR image.3. The method of claim 2 , wherein the multiple image sensors all capture images simultaneously through a single lens.4. The method of claim 3 , further comprising receiving incoming light through the lens and splitting the light via at least one beamsplitter onto the multiple image sensors claim 3 , wherein at least 95% of the light gathered by the imaging lens is captured by the multiple image sensors.5. The method of claim 4 , wherein the multiple image sensors include at least a high exposure (HE) sensor and a middle exposure (ME) sensor claim 4 , and wherein merging the sequences includes using HE pixel values that are not saturated and ME pixel values corresponding to the saturated pixel values.6. The method of claim 5 , wherein the multiple sensors further include a low exposure (LE) sensor claim 5 , and the method includes identifying saturated pixel values originating from both the HE sensor and ...

Method of estimating amount of ink consumed, apparatus for estimating amount of ink consumed, and printing system

After obtaining a print job (step S 10 ), adjustment data is obtained based on job information included in the print job (step S 20 ). After determining an estimation range (step S 30 ), image data to be printed is corrected using the adjustment data (step S 40 ). Then, an amount of ink which is predicted to be consumed by printing of an image represented by the corrected image data is calculated (step S 50 ). Furthermore, when flushing is performed, an amount of ink which is predicted to be consumed by flushing is calculated (step S 70 ).

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

An image processing apparatus includes a first acquirer configured to acquire first component information on a first component that is one of the rotationally symmetrical component and the shift component, acquired and stored before the input image is acquired, a first corrector configured to generate a first corrected image by performing a correction process with the first component information for the input image, a second acquirer configured to detect a color shift amount in the first corrected image and to acquire the second component information on a second component that is the other of the rotationally symmetrical component and the shift component based on the color shift amount, and a second corrector configured to perform a correction process with the second component information for the first corrected image or a correction process with the first component information and the second component information for the input image. 1. An image processing apparatus configured to perform image processing on an input image generated by image capturing using an optical system for correcting a lateral chromatic aberration that contains a rotationally symmetrical component and a shift component , the image processing apparatus comprising:a first acquirer configured to acquire first component information on a first component that is one of the rotationally symmetrical component and the shift component, the first component information being acquired and stored before the input image is acquired;a first corrector configured to generate a first corrected image by performing a correction process with the first component information for the input image;a second acquirer configured to detect a color shift amount in the first corrected image and to acquire the second component information on a second component that is the other of the rotationally symmetrical component and the shift component based on the color shift amount; anda second corrector configured to perform a ...

IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

An image processing apparatus performs image processing for correcting a lateral chromatic aberration that contains a rotationally symmetrical component and a shift component, for an input image generated by image capturing using an optical system. The image processing apparatus includes a first acquirer configured to acquire first component information on a first component that is one of the rotationally symmetrical component and the shift component, the first component information being acquired and stored before the input image is acquired, a second acquirer configured to acquire the second component information on a second component that is the other of the rotationally symmetrical component and the shift component based on the color shift amount, by using the input image and the first component information, and a corrector configured to perform a correction process with the first component information and the second component information for the input image. 1. An image processing apparatus configured to perform image processing on an input image generated by image capturing using an optical system for correcting a lateral chromatic aberration that contains a rotationally symmetrical component and a shift component , the image processing apparatus comprising:a first acquirer configured to acquire first component information on a first component that is one of the rotationally symmetrical component and the shift component, the first component information being acquired and stored before the input image is acquired;a second acquirer configured to acquire the second component information on a second component that is the other of the rotationally symmetrical component and the shift component by using the input image and the first component information; anda corrector configured to perform a correction process with the first component information and the second component information for the input image.2. The image processing apparatus according to claim 1 , ...

DEEP NEURAL NETWORK COLOR SPACE OPTIMIZATION

Example method includes: transmitting a plurality of probe images from an IoT device at an edge network to a server hosting a target DNN, wherein the plurality of images are injected with a limited amount of noise to probe sensitivities of the target DNN to the red, green, and blue colors; receiving a feedback comprising a plurality of DCT coefficients unique to target DNN from the server hosting the target DNN; computing a plurality of color conversion weights based on the feedback received from the server; converting a set of real-time images from RGB color space to YUV color space using the plurality of color conversion weights unique to the target DNN; compressing the set of real-time images using a quantization table unique to the target DNN by the IoT device; and transmitting the compressed set of real-time images to the server hosting the target DNN for DNN inferences. 1. A method comprising:transmitting a plurality of probe images from an Internet of Things (IoT) device at an edge network to a server hosting a target deep neural network (DNN), wherein the plurality of images are injected with a limited amount of noise to probe sensitivities of the target DNN to the red, green, and blue colors;receiving a feedback comprising a plurality of discrete cosine transform (DCT) coefficients from the server hosting the target DNN, wherein the plurality of DCT coefficients are unique to the target DNN;computing a plurality of color conversion weights based on the feedback received from the server hosting the target DNN;converting a set of real-time images from RGB color space to YUV color space using the plurality of color conversion weights unique to the target DNN;compressing the converted set of real-time images using a quantization table specific to the target DNN by the IoT device at the edge network; andtransmitting the compressed set of real-time images to the server hosting the target DNN for DNN inferences.2. The method of ; further comprising:estimating the ...

WHITE BALANCE PROCESSING METHOD, ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM

The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold. 1. A white balance processing method , used to perform a white balance process on a plurality of successive frame images under a scenario with multiple light sources , comprising:processing each frame image of the plurality of successive frame images to determine color temperature corresponding to a main light source;determining whether a variation of primary color temperature is greater than or equal to a predetermined threshold, the variation of primary color temperature referring to a difference between the color temperature of the main light source in a second frame image subjected to a color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation; andperforming the white balance process on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color ...

COLOR CONVERSION METHOD, GRAY SCALE VALUE CORRECTION APPARATUS, COMPUTER PROGRAM AND DISPLAY APPARATUS

Provided are a color conversion method, gradation value correction device, computer program, and display device that can reproduce small gradation changes between lattice points, as well as can reduce accuracy degradation caused by interpolation. Dividing one of input gradations and output gradations of gradation characteristics, indicating input/output gradation characteristics reproduced in a second conversion unit, into gradation segments having predetermined gradation intervals. Then, correcting each of the gradation values of the other gradations of the gradation characteristics so that gradation intervals of the other gradations become intervals corresponding to the predetermined gradation intervals. The first conversion unit then converts the gradation values of an image using the corrected gradation values. 15.-. (canceled)6. A method for color conversion using a color conversion device , the color conversion device including a first conversion unit configured to convert gradation values of an image and a second conversion unit in which conversion values are stored at lattice points which divide a color space into segments having predetermined gradation intervals , the color space having a predetermined number of gradations for each of multiple colors , the method comprising:a step of dividing one of input gradations and output gradations of the gradation characteristics into gradation segments having the predetermined gradation intervals, the gradation characteristics indicating input/output gradation characteristics reproduced in the second conversion unit;a step of correcting, for each of the gradation segments, each of the gradation values of the other gradations of the gradation characteristics so that gradation intervals of the other gradations become intervals corresponding to the predetermined gradation intervals;a step of converting, by the first conversion unit, the gradation values of the image using the corrected gradation values; anda step of ...

IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREFOR

An image processing apparatus divides an input image into a plurality of band area images, stores the respective band area images in a band memory, and performs image processing. The apparatus comprises: a storage unit configured to store filter coefficients having a two-dimensional reference area of M pixels in a first direction and N pixels in a second direction orthogonal to the first direction; and a spatial filter unit configured to apply, to the band area image stored in the band memory, a spatial filter using the filter coefficients. The filter coefficients are set as the filter coefficients so as to refer to pixels for every K pixels in the second direction, and the spatial filter unit sequentially applies the spatial filter to the band area image K times in the second direction. 1. An image processing apparatus for dividing an input image into a plurality of band area images so that each band area partially overlaps an adjacent band area , successively storing the respective band area images in a band memory , and performing image processing , the apparatus comprising:a storage unit configured to store filter coefficients having a two-dimensional reference area of M pixels in a first direction and N pixels in a second direction orthogonal to the first direction; anda spatial filter unit configured to apply, to the band area image stored in the band memory, a spatial filter using the filter coefficients,wherein coefficients are set as the filter coefficients so as to refer to pixels for every K pixels in the second direction, andthe spatial filter unit sequentially applies the spatial filter to the band area image K times so that sampling phases by the filter coefficients for the band area image are mutually different in the second direction.2. The apparatus according to claim 1 , whereincoefficients are further set as the filter coefficients so as to refer to pixels for every L pixels in the first direction, andthe spatial filter unit sequentially applies ...

Color correction system and method

A system and method for calibrating a digital imaging device for color correction is disclosed. The method comprises obtaining an input color value and a reference color value for each of a plurality of color references, as well as a noise evaluation image having a color noise for evaluating noise reduction, the input color values and reference color values being in a non-linear color space. A plurality of color correction parameters are determined as optimized based on evaluating a fitness function in the non-linear color space. The non-linear color space can be a CIE L*a*b* color space. The fitness function can include a color correction error and a noise amplification metric so as to reduce noise amplification during color correction.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus sets a threshold value matrix for each of multiple color materials, and uses the set threshold value matrix to acquire a first threshold value. On the other hand, the image processing apparatus sets reference data on the basis of multivalued data of that color material. Then, the image processing apparatus calculates a second threshold value matrix by performing a predetermined process on the first threshold value on the basis of the reference data for that color material. Further, by comparing the second threshold value with the multivalued data, quantization data for printing a dot is generated. When doing this, the threshold value matrix and the reference data for that color material are set so as to make the graininess of a dot pattern of that color material lower than the graininess of a mixed color dot pattern obtained by mixing dot patterns of the respective multiple color materials. 1. An image processing apparatus for printing an image on a print medium with use of multiple color materials , the image processing apparatus comprising:a data acquisition unit configured to acquire pieces of multivalued data of a target pixel, the pieces of multivalued data respectively corresponding to the multiple color materials;a threshold value acquisition unit configured to, from among multiple threshold value matrices each configured to include arrayed multiple threshold values, set one threshold value matrix for each of the multiple color materials, and from the set threshold value matrix, acquire a first threshold value corresponding to the target pixel;a reference color setting unit configured to, from among the pieces of multivalued data respectively corresponding to the multiple color materials, set reference data that is referred to in order to perform a predetermined process on the first threshold value acquired by the threshold value acquisition unit for that color material;a calculation unit configured to, for that color material, ...

IMAGE FORMING APPARATUS

An image forming apparatus includes a conversion unit, a correction unit, an image forming unit, a measurement unit, first, second, and third generation units, a reading unit, an input unit, and a determination unit. Image data of a color components indicating one pixel based on a multidimensional table is converted and then corrected based on one-dimensional tables corresponding to the color components. An image is formed on a sheet based on the corrected image data. A measuring image formed on the sheet is measured. The multidimensional table can be generated based on a multi-color first measuring image. The one-dimensional table can be generated based on a second measuring image. A pattern image formed on the sheet is read. The one-dimensional table can be generated based on a pattern image for each of the color components on the sheet. Input user instructions indicated how the one-dimensional table is generated. 1. An image forming apparatus comprising:a conversion unit configured to convert image data of a plurality of color components indicating one pixel based on a multidimensional table;a correction unit configured to correct the converted image data based on one-dimensional tables, each one-dimensional table respectively corresponding to the plurality of color components;an image forming unit configured to form an image on a sheet based on the corrected image data;a measurement unit configured to measure a measuring image formed on the sheet;a first generation unit configured to control the image forming unit to form a first measuring image on the sheet, control the measurement unit to measure the first measuring image, and generate the multidimensional table based on a result of the measurement of the first measuring image, wherein the first measuring image is a multi-color image;a second generation unit configured to control the image forming unit to form a second measuring image for each of the plurality of color components on the sheet, control the ...

Camera System Encoder/Decoder Architecture

An image capture accelerator performs accelerated processing of image data. In one embodiment, the image capture accelerator includes accelerator circuitry including a pre-processing engine and a compression engine. The pre-processing engine is configured to perform accelerated processing on received image data, and the compression engine is configured to compress processed image data received from the pre-processing engine. In one embodiment, the image capture accelerator further includes a demultiplexer configured to receive image data captured by an image sensor array implemented within, for example, an image sensor chip. The demultiplexer may output the received image data to an image signal processor when the image data is captured by the image sensor array in a standard capture mode, and may output the received image data to the accelerator circuitry when the image data is captured by the image sensor array in an accelerated capture mode. 1. A camera system , comprising:an image sensor chip configured to produce image data representative of light incident upon the image sensor chip; andan image signal processor chip (“ISP”) comprising: when the camera system is configured to operate in an accelerated capture mode, perform a first encoding operation on image data to produce first encoded image data and store the encoded image data in memory; and', 'when the camera system is configured to operate in a normal mode or a standby mode, perform a second encoding operation on image data to produce second encoded image data and output the second encoded image data; and, 'an encoder configured toa decoder configured to, when the camera system is configured to operate in the standby mode, access the first encoded image data from the memory and decode the first encoded image data to produce decoded image data, wherein the encoder, when the camera system is configured to operate in the standby mode, is configured to perform the second encoding operation on the decoded ...

OPTIMIZING USER ENGAGEMENT WITH CONTENT BASED ON AN OPTIMAL SET OF ATTRIBUTES FOR MEDIA INCLUDED IN THE CONTENT

An online system identifies a candidate content item eligible for presentation to a viewing user of the online system, in which the candidate content item includes media (e.g., an image, a video, etc.). The online system identifies one or more media attributes for the media, such as color saturation, tone, brightness, sharpness, contrast, etc. The online system also predicts a value of a performance metric for the candidate content item that indicates a likelihood of user engagement with the candidate content item by the viewing user. For each modification that may be made to a media attribute, the online system predicts a change to the value of the performance metric. Based on the predicted change, the online system determines an optimal set of media attributes associated with a maximum predicted value of the performance metric. The online system modifies the media based on the optimal set of media attributes. 1. A method comprising:identifying an opportunity to present content to a viewing user of an online system;identifying a candidate content item eligible to be presented to the viewing user, the identified candidate content item comprising media;identifying one or more media attributes for the media;predicting a value of a performance metric for the candidate content item indicating a likelihood of user engagement with the content item by the viewing user, the value of the performance metric predicted based at least in part on the one or more media attributes for the media;for each of one or more modifications to the one or more media attributes, predicting a change to the value of the performance metric;determining an optimal set of media attributes for the media associated with a maximum predicted value of the performance metric; andmodifying the media comprising the candidate content item based at least in part on the determined optimal set of media attributes for the media.2. The method of claim 1 , further comprising:ranking the candidate content item ...

DRIVER ASSISTANCE SYSTEM, DRIVER ASSISTING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

A driver assistance system has a periphery monitoring device, a drive recorder, and an illuminance detecting section. The periphery monitoring device includes an imaging section that is mounted at a vehicle and captures images of a vehicle periphery, a memory, a processor that is coupled to the memory and that serves as a color tone correction processing section that corrects color tone of an image captured by the imaging section, and a display portion that displays an image having color tone that has been corrected by the color tone correction processing section. The drive recorder includes the imaging section, the memory, the processor that serves as the color tone correction processing section, and a recording section that records an image having color tone that has been corrected by the color tone correction processing section. The processor is configured so as to, in case in which an illuminance that is detected by the illuminance detecting section at a time of imaging by the imaging section is less than a predetermined reference value, correct color tone of an image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is dark as compared with color tone correction that is executed for display at the display portion, and, in a case in which the illuminance that is detected by the illuminance detecting section at the time of imaging by the imaging section is greater than or equal to the predetermined reference value, correct the color tone of the image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is bright as compared with color tone correction that is executed for display at the display portion. 1. A driver assistance system comprising:a periphery monitoring device that includes an imaging section that is mounted at a vehicle and captures images of a vehicle ...

IMAGE FORMING APPARATUS, INFORMATION PROCESSING APPARATUS, AND RECORDING MEDIUM

An image forming apparatus includes an image former configured to form a first image on a first recording medium; a feeder configured to feed the first recording medium to the image former; a reader configured to read the first image formed on the first recording medium; a process executor configured to execute a predetermined process based on a first read image that is obtained by the reader by reading the first image; and a corrector configured to correct the reader based on a second read image that is obtained by the reader by reading a second image formed on a second recording medium fed by the feeder, and a predetermined read reference image. 1. An image forming apparatus comprising:an image former configured to form a first image on a first recording medium;a feeder configured to feed the first recording medium to the image former;a reader configured to read the first image formed on the first recording medium;a process executor configured to execute a predetermined process based on a first read image that is obtained by the reader by reading the first image; anda corrector configured to correct the reader based on a second read image that is obtained by the reader by reading a second image formed on a second recording medium fed by the feeder, and a predetermined read reference image.2. The image forming apparatus according to claim 1 , wherein the predetermined process is at least one of an inspection process of inspecting the first image claim 1 , a color correction process performed on the image former at a time of non-image formation claim 1 , and a color correction process performed on the image former at a time of image formation.3. The image forming apparatus according to claim 1 , further comprising:an accommodator configured to accommodate the first recording medium, whereinthe feeder feeds the second recording medium accommodated in the accommodator.4. The image forming apparatus according to claim 1 , further comprising:a stop controller configured ...

IMAGE FORMING APPARATUS PERFORMING TRAPPING PROCESS WHEN PRINT DATA INCLUDES A PLURALITY OF PIECES OF IMAGE DATA AND TO SUPERPOSE THE ADJACENT PIECES OF IMAGE DATA AND A DETERMINATION UNIT THAT DETERMINES WHETHER OR NOT TRAPPING ATTRIBUTE INFORMATION, WHICH INDICATES THAT THE TRAPPING PROCESS IS TO BE PERFORMED, IS ATTACHED TO THE PIECES OF IMAGE DATA ON A PIECE BY PIECE BASIS OF PERFORMED COLOR CORRECTION

An image forming apparatus performs a trapping process. The image forming apparatus includes an image processing unit that includes a determination unit, a color correction unit, a processing unit, an adding unit, and a generating unit. The processing unit performs the trapping process on the pieces of image data, on which the color correction has been performed by the color correction unit. The generating unit generates intermediate data in accordance with the print data including the pieces of image data, on which the trapping process has been performed. The image forming apparatus also includes a rendering unit that performs a rendering process on one or more of the pieces of image data on which the color correction has been performed by the rendering unit and on the pieces of image data for which tag information indicates that the color correction has been performed. 1. An image forming apparatus comprising:an image processing unit; anda rendering unit,wherein the image forming apparatus performs a trapping process that, when print data includes a plurality of pieces of image data, causes boundary portions of the adjacent pieces of image data to be superposed with one another, a determination unit that determines whether or not trapping attribute information, which indicates that the trapping process is to be performed, is attached to the pieces of image data on a piece by piece basis,', 'a color correction unit that performs color correction on the pieces of image data, for which it has been determined by the determination unit that the trapping attribute information is attached,', 'a processing unit that performs the trapping process on the pieces of image data, on which the color correction has been performed by the color correction unit,', 'an adding unit that adds tag information, which includes a piece of information indicating whether or not the color correction has been performed by the color correction unit, to each of the plurality of pieces of image ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus sets a threshold value matrix for each of multiple color materials, and uses the set threshold value matrix to acquire a first threshold value. On the other hand, the image processing apparatus sets reference data on the basis of multivalued data of that color material. Then, the image processing apparatus calculates a second threshold value matrix by performing a predetermined process on the first threshold value on the basis of the reference data for that color material. Further, by comparing the second threshold value with the multivalued data, quantization data for printing a dot is generated. When doing this, the threshold value matrix and the reference data for that color material are set so as to make the graininess of a dot pattern of that color material lower than the graininess of a mixed color dot pattern obtained by mixing dot patterns of the respective multiple color materials. 114.-. (canceled)15. An image processing apparatus for printing an image on a print medium with use of inks of multiple colors including at least an ink of a first color , an ink of a second color different from the first color , and an ink of a third color having higher lightness than the first and second colors , the image processing apparatus comprising:an acquisition unit configured to acquire first, second, and third pieces of multivalued data respectively corresponding to the inks of the first, second, and third colors; anda generation unit configured to generate first, second, and third pieces of quantization data respectively corresponding to the inks of the first, second, and third colors on a basis of the first, second, and third pieces of multivalued data acquired by the acquisition unit, and mutually different first and second threshold value matrices each configured to include arrayed multiple threshold values, whereinthe generation unit (i) generates the first quantization data on a basis of the first multivalued data acquired by the ...

Linearizing print outputs for a printing system

An example method of linearizing print outputs for a printing system is described. The method involves retrieving a look-up table comprising a plurality of nodes that map input space values to Neugebauer Primary Area Coverage vectors. The printing system is used to print a set of ramps, each ramp comprising a plurality of test areas. The test areas for each ramp are defined by varying vector element values corresponding to input space values that vary in a dimension of the input space. A property of each of the printed test areas is measured and a linearization function is determined based on those measured properties. The linearization function is then applied to the input space values for the plurality of nodes in the look-up table.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus performs image processing to print a color materials of a first color and a second color. When a sum of a first gradation data for the first color and a second gradation data for the second color is equal to or smaller than the maximum value of thresholds of a first threshold matrix, a generation unit generates a second quantization data for the second color based on a result of comparing the second gradation data with a second threshold. When the sum is greater than the maximum value, the generation unit generates third gradation data by subtracting the maximum value from the sum and generates the second quantization data based on a result of comparing the third gradation data with the first threshold or a result of comparing a difference between the second gradation data and the third gradation data with the second threshold. 1. An image processing apparatus , comprising:a gradation data obtainment unit configured to obtain first gradation data corresponding to a gradation value of a first color and second gradation data corresponding to a gradation value of a second color for a processing-target pixel;a threshold obtainment unit configured to obtain a first threshold for the processing-target pixel from a first threshold matrix including a plurality of arrayed thresholds for pixels and obtain a second threshold for the processing-target pixel from a second threshold matrix in which the thresholds for the pixels are arrayed at such pixel positions that order of the pixel positions is inverse to order of pixel positions in the first threshold matrix in a case where the pixel positions are arranged in ascending order of the thresholds; anda generation unit configured to generate first quantization data and second quantization data that have a smaller number of gradations than the number of gradations of the first gradation data and the second gradation data based on the first threshold, the second threshold, the first gradation data, ...

METHOD FOR CONTROLLING IMAGE PROCESSING DEVICE

A multifunction printer, which generates first image data of a document by reading the document, generates second image data in which a background color of the document is removed by conducting a color conversion process to the first image data, and prints an image based on the second image data, has a background color density computing section which computes background color density of the document from the first image data, a color conversion table generating section which generates a first color conversion table and a second color conversion table based on the background color density, and an image processing section which separates an image shown by the first image data into a letter region and a non-letter region, converts the color by applying the first color conversion table to the letter region, and converts the color by applying the second color conversion table to the non-letter region. 1. An image processing device , which generates first image data of a document by reading the document , generates second image data in which a background color of the document is removed by conducting a color conversion process to the first image data , and prints an image based on the second image data , comprising:a background color density computing section which computes background color density of the document from the first image data;a color conversion table generating section which generates a first color conversion table and a second color conversion table based on the background color density; andan image processing section which separates an image shown by the first image data into a letter region and a non-letter region, converts the color by applying the first color conversion table to the letter region, and converts the color by applying the second color conversion table to the non-letter region.2. The image processing device according to claim 1 , wherein brightness of the letter region is decreased by applying the first color conversion table to color ...

Color management system, non-transitory computer readable medium, and color management method

A color management system includes a measurement unit and a controller. The measurement unit measures a color difference between multiple colorimeters by using at least one detection color patch in accordance with colorimetry conditions used for the colorimeters. The controller generates, in a case where the color difference between the colorimeters is equal to or higher than a threshold for the detection color patch, a correction profile for correcting the color difference between the colorimeters.

Image Processing Apparatus

An image processing apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the image processing apparatus to execute: acquiring target data representing a target image; calculating, for each of a plurality of target pixels forming the target data, a density relation value related to density of the target pixel; selecting a conversion color for an object pixel among the plurality of target pixels; converting pixel value of the object pixel to generate converted data such that, the higher the density represented by the density relation value of the object pixel, the closer the pixel value of a pixel of the converted data to a value indicative of the conversion color for the object pixel; and outputting the converted data. 1. An image processing apparatus comprising:a processor; andmemory storing computer readable instructions, when executed by the processor, causing the image processing apparatus to execute:acquiring target data representing a target image;calculating, for each of a plurality of target pixels forming the target data, a density relation value related to density of the target pixel;selecting a conversion color for an object pixel among the plurality of target pixels;converting pixel value of the object pixel to generate converted data such that, the higher the density represented by the density relation value of the object pixel, the closer the pixel value of a pixel of the converted data to a value indicative of the conversion color for the object pixel; andoutputting the converted data.2. The image processing apparatus according to claim 1 , wherein the converting includes converting the pixel value of the object pixel such that the pixel value of the converted pixel changes linearly according to the density indicated by the density relation value of the object pixel.3. The image processing apparatus according to claim 1 , whereinthe converting includes converting the pixel value of ...

Apparatus and Method for Color Calibration

An apparatus and a method for mapping colors of a source image to colors of a reference image, where the apparatus is configured to match a histogram of the source image to a histogram of the reference image to generate a histogram matched image of the source image, generate a conditional probability distribution of the reference image, and detect outliers in the histogram matched image based on the conditional probability distribution. 1. An apparatus for mapping colors of a source image to colors of a reference image , comprising:a memory comprising instructions; and match a histogram of the source image to a histogram of the reference image to generate a histogram matched image of the source image;', 'generate a conditional probability distribution of the reference image; and', 'detect outliers in the histogram matched image based on the conditional probability distribution., 'a processor coupled to the memory, wherein the instructions cause the processor to be configured to2. The apparatus according to claim 1 , wherein the instructions further cause the processor to be configured to generate the conditional probability distribution by estimating a conditional probability (p(I|I claim 1 , I claim 1 , I. . . I)) of an intensity (I) of a given pixel of the reference image given intensities (I claim 1 , I claim 1 , I. . . I) of neighboring pixels of the given pixel claim 1 , and wherein the neighboring pixels are selected according to a neighborhood configuration.3. The apparatus according to claim 2 , wherein the neighborhood configuration is adaptively selected according to the content of the source image or content of the reference image.4. The apparatus according to claim 3 , wherein a number of neighbors defined by the neighborhood configuration depends on a texture of the source image and a texture of the reference image claim 3 , and wherein the number of neighbors is increased for a source image and a reference image with larger homogenous areas or with ...

READING DEVICE, IMAGE FORMING APPARATUS, AUTHENTICITY DETERMINATION SYSTEM, AND READING METHOD

A reading device includes a light source, an imaging element, a controller, a correcting unit, and a notifying unit. The light source is configured to irradiate an object with light. The imaging element is configured to receive and read the light from the object. The controller is configured to control a second reading operation of reading the object with an invisible image. The correcting unit is configured to perform correction with respect to the invisible image. The notifying unit is configured to notify an outside of at least the invisible image corrected. 1. A reading device comprising:a light source configured to irradiate an object with light;an imaging element configured to receive and read the light from the object;a controller configured to control a second reading operation of reading the object with an invisible image;a correcting unit configured to perform correction with respect to the invisible image; anda notifying unit configured to notify an outside of at least the invisible image corrected.2. A reading device comprising:a light source configured to irradiate an object with light;an imaging element configured to receive and read the light from the object;a controller configured to control a first reading operation of reading the object with a visible image and a second reading operation of reading the object with an invisible image;a correcting unit configured to perform correction with respect to at least one of the visible image and the invisible image; anda notifying unit configured to notify an outside of at least the invisible image corrected.3. The reading device according to claim 1 , further comprising a notification controller configured to control a notification condition of the notifying unit.4. The reading device according to claim 3 ,wherein the notifying unit includes a memory configured to store at least the invisible image,wherein the notification controller performs control to notify the outside of an image stored in the memory at ...

COLOR SEPARATION APPARATUS, COLOR SEPARATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

A color separation apparatus comprising: a target value acquisition device; a dot threshold data acquisition device which acquires dot threshold data including information on a threshold for each of the dots for converting the continuous-tone image data into binary image data for each of the color materials; a print profile acquisition device which acquires a print profile showing correspondence between a device signal value and a value of a color system in the printer; and a color separation device which allows the printer to calculate candidates of the device signal value on the basis of the target values of colors acquired by the target value acquisition device and the print profile, and determines a device signal value for reproducing colors corresponding to the target values from among the candidates of the device signal value on the basis of the dot threshold data and the print profile. 1. A color separation apparatus comprising:a target value acquisition device which acquires target values of colors to be reproduced in a printer from continuous-tone image data when the printer creates binary image data showing shape and arrangement of dots constituting an image for each of color materials;a dot threshold data acquisition device which acquires dot threshold data including information on a threshold for each of the dots for converting the continuous-tone image data into binary image data for each of the color materials;a print profile acquisition device which acquires a print profile showing correspondence between a device signal value and a value of a color system in the printer; anda color separation device which allows the printer to calculate candidates of the device signal value on the basis of the target values of colors acquired by the target value acquisition device and the print profile, and determines a device signal value for reproducing colors corresponding to the target values from among the candidates of the device signal value on the basis of the ...

COLOR SEPARATION APPARATUS, COLOR SEPARATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

A color separation apparatus comprising: a target value acquisition device; a dot threshold data candidate selection device; a print profile acquisition device which acquires a print profile showing correspondence between device signal values and color system values in the printer for each of the candidates of dot threshold data; and a color separation device which allows the printer to calculate candidates of the device signal values on the basis of the target values of colors acquired by the target value acquisition device and the print profile, and determines dot threshold data for reproducing colors corresponding to the target values on the basis of the candidates of dot threshold data and the print profile from among the candidates of dot threshold data, as well as determines device signal values for reproducing colors corresponding to the target values from among the candidates of device signal values. 1. A color separation apparatus comprising:a target value acquisition device which acquires target values of colors to be reproduced in a printer from continuous-tone image data when the printer creates binary image data showing shape and arrangement of dots constituting an image for each color material;a dot threshold data candidate selection device which acquires candidates of dot threshold data including information on a threshold for each the dots for converting the continuous-tone image data into binary image data for each color material;a print profile acquisition device which acquires a print profile showing correspondence between device signal values and color system values in the printer for each of the candidates of dot threshold data; anda color separation device which allows the printer to calculate candidates of the device signal values on the basis of the target values of colors acquired by the target value acquisition device and the print profile, and determines dot threshold data for reproducing colors corresponding to the target values on the ...

IMAGE FORMING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM STORING PROGRAM

Controlling execution of image processing that adjusts an amount of a printing material applied to the printing medium based on an amount of change of pixel values of image data. 1. An image forming apparatus for printing an image on a printing medium based on image data , the apparatus comprising:an image processing unit configured to, with respect to image data, execute image processing that adjusts an amount of printing material applied to the printing medium;a control unit configured to control execution of the image processing based on an amount of change of pixel values of the image data; anda printing unit configured to print an image on the printing medium based on image data resulting from the control of execution of the image processing by the control unit.2. The image forming apparatus according to claim 1 , wherein the control unit does not execute the image processing for a region where the amount of change is larger than a threshold claim 1 , and does execute the image processing for a region where the amount of change is less than or equal to the threshold.5. The image forming apparatus according to claim 1 , wherein the control unit claim 1 , in a case where the image processing is executed claim 1 , determines claim 1 , based on the amount of change claim 1 , a parameter that represents a degree of adjustment of an amount of the printing material applied claim 1 , and executes the image processing based on the determined parameter.6. The image forming apparatus according to claim 5 , wherein the control unit determines the parameter to be smaller the larger the amount of change is claim 5 , and determines that the parameter to be larger the smaller the amount of change is.7. The image forming apparatus according to claim 6 , wherein the image processing is UCR processing claim 6 , and the control unit changes an amount to reduce or increase the printing material to be smaller the smaller the parameter is and changes the amount to be larger the ...

COMPENSATING OVER-SATURATION DUE TO DYE-ENRICHED COLORANT

A method is described in which image data of an image to be printed is obtained wherein the image data includes data of each colorant to be printed. The image data of each colorant to be printed is analysed to detect areas of the image in which dye-enriched colorant will occur during printing. The image data is modified to compensate for over-saturation due to the dye-enriched colorant in the detected areas and the image is printed based on the modified image data. 1. A method comprising:obtaining image data of an image to be printed, the image data including data of each colorant to be printed;analysing the image data of each colorant to be printed to detect areas of the image in which dye-enriched colorant will occur during printing;modifying the image data to compensate for over-saturation due to the dye-enriched colorant in the detected areas; andprinting the image based on the modified image data.2. A method in accordance with the method of claim 1 , whereinthe analysis of the image data is based on at least one of: idle time of a nozzle of a printhead, the type of colorant, and the contone values of the different image areas.3. A method in accordance with the method of claim 1 , whereinthe analysis of the image data is further based on at least one of: masking, resolution, print speed, number of passes, firing frequency of each nozzle, temperature and humidity in a print chamber, and a trickle warming temperature.4. A method in accordance with the method of claim 1 , whereinthe analysis of the image data includes calculating a dye-enrichment concentration of each nozzle of a printhead.5. A method in accordance with the method of claim 1 , whereinthe analysis of the image data includes calculating a number of pixels in which dye-enriched colorant will be printed by each nozzle.6. A thermal inkjet printer comprising:a printhead comprising a plurality of nozzles;an image analysing module to analyse image data of an image to be printed, the image data including ...

Printer colour reference system

A test apparatus comprising a portable reference element having colour and spectrophotometrically neutral gray elements of predetermined hues and saturations, and a digital software file provides identical colour and spectrophotometrically neutral grayscale data which, when printed or otherwise reproduced accurately, may be compared with the test colours and grayscale provided by the portable reference element, enabling appropriate adjustments to be made to the printer as required. 1. An apparatus for use in evaluating the accuracy of reproduction of printing devices and comprising:a primary reference element having an reference array of colour and grayscale elements of predetermined values, including four typical flesh tones and six highly saturated primary and secondary colors, and a rainbow of colours wherein the colours increase in wavelength uniformly through the human visible spectrum, typically from 400 to 700 nm, and gray tones sequentially from black to white in ever increasing brightness; and,a second element comprising a digital software file of said reference array, which, when reproduced by a printing system, optimized to reproduce colours accurately, produces a print that matches the colours and grayscale array of said reference element.2. The apparatus for use in evaluating the accuracy of reproduction of printing devices as claimed in wherein the individual colour and grayscale elements comprising said primary reference element and digital software file arrays radiate from a central point within said array of colour and grayscale elements.3. The apparatus for use in evaluating the accuracy of reproduction of printing devices as claimed in wherein said reference element is circular.4. The apparatus for use in evaluating the accuracy of reproduction of printing devices as claimed in wherein said reference element is oval.5. The apparatus for use in evaluating the accuracy of reproduction of printing devices as claimed in wherein said reference element ...

Image-processing apparatus and image-processing method

An image-processing apparatus includes: an acquiring unit configured to acquire a brightness characteristic value from input image data; a generating unit configured to generate information regarding a high-brightness area that is an image area of the input image data having a brightness greater than or equal to a first threshold value, based on the brightness characteristic value; and a processing unit configured to perform, on the input image data, unevenness reduction processing of reducing unevenness in at least one of brightness and color, wherein the processing unit performs, on the input image data, the unevenness reduction processing of reducing the unevenness more strongly in a case where the high-brightness area is bigger, based on the information.

Method and System for Removal of Fog, Mist, or Haze from Images and Videos

A method of removing fog from the images/videos independent of the density or amount of the fog and free of user intervention and a system for carrying out such method of fog removal from images/videos are disclosed. The removal of fog from images and video involve airlight estimation and airlight map refinement based restoration of foggy images and videos. Advantageously, removal of fog from images and videos of this invention would require less execution time and yet achieve high perceptual image quality with reduced noise and enhanced contrast. The proposed method is adapted for RGB Colour model and advantageously also for HSI colour model involving reduced computational requirements and be user friendly and supposed to have wide application and use. 1. A method for removing fog from images and/or videos comprising:(a) carrying out a histogram equalization such that a foggy image is equalized to increase contrast;(b) providing an airlight map of the foggy image and/or video;(c) refining the airlight map involving anisotropic diffusion and/or bilateral filtering; and(d) restoring the foggy image based on the refined airlight map involving a restoration process having flexibility to focus on the quality of the image and/or video at a required depth involving an extinction co-efficient for attenuation and airlight and performing a histogram stretching of the restored image if the restored image has low contrast.2. The method for removing fog from images and/or videos according to claim 1 , wherein the images and/or videos include multi component color images and/or videos and/or single component color images claim 1 , wherein the multi component color images and/or videos includes RGB and Hue claim 1 , Saturation and Intensity (HSI) images and/or videos claim 1 , and wherein the single component color images and/or videos include grayscale images and/or videos.5. The method for removing fog from images and/or videos according to claim 1 , wherein the airlight map is ...

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM

To prevent any variation of the grayscale to be originally present from becoming unclear, diminishing banding that is generated when an image including a gradation is displayed. An image processing device obtains image data of an original image including plural pixels, obtains an evaluation value that represents the possibility of the generation of the banding on the basis of the color distribution of a noted area including a target pixel that is any one of the plural pixels, produces an intermediate image of which the color of the target pixel is corrected on the basis of the evaluation value, and causes a corrected image to be output on the basis of the produced intermediate image. A correction amount of the color of the target pixel is varied in accordance with the evaluation value, in the correction of the color. 1. An image processing device comprising:image data obtaining means that obtains image data of an original image including a plurality of pixels;evaluation value obtaining means that obtains an evaluation value representing a possibility of generation of banding on a basis of a color distribution in a noted area including a target pixel that is any one of the plurality of pixels;correcting means that produces an intermediate image of which a color of the target pixel is corrected on a basis of the evaluation value; andimage output means that causes a corrected image to be output on a basis of the produced intermediate image, whereinthe correcting means varies a correction amount of the color of the target pixel in accordance with the evaluation value.2. The image processing device according to claim 1 , whereinthe correcting means does not correct the color of the target pixel in a case where it is determined that a possibility of generation of any banding is low on a basis of a comparison between the evaluation value and a predetermined threshold value.3. The image processing device according to claim 2 , whereinthe correcting means corrects the color ...

METHOD AND APPARATUS FOR MODIFYING A MULTI-FRAME IMAGE BASED UPON ANCHOR FRAMES

A method, apparatus and computer program product are provided to cause image content to be adjusted in a manner consistent with the corresponding viewing direction, such as the viewing direction of a user of a head-mounted display device. In regards to a method, one or more first anchor frames are determined within a multi-frame image, a user's viewing direction is determined relative to the multi-frame image and at least one second anchor frame is identified based on the user's viewing direction. The method also includes determining one or more tonal modification parameters of a frame in relation to the viewing direction based upon the one or more first anchor frames and the at least one second anchor frame. Further, the method generates a plurality of modified frames based on the one or more tonal modification parameters. A corresponding apparatus and computer program product are also provided. 1. A method comprising:determining one or more first anchor frames within a multi-frame image;determining a user's viewing direction relative to the multi-frame image;identifying at least one second anchor frame based on the user's viewing direction;determining one or more tonal modification parameters of a frame in relation to the viewing direction based upon the one or more first anchor frames and the at least one second anchor frame; andgenerating, with a processor, a plurality of modified frames based on the one or more tonal modification parameters.2. A method according to wherein determining the one or more first anchor frames within a multi-frame image comprises:receiving a plurality of images; andclassifying the plurality of images into a plurality of subsets based on similarities in one or more image properties.3. A method according to wherein classifying the plurality of images into a plurality of subsets comprises:analyzing a plurality of color correction matrices or a plurality of automatic white balance parameters defined by the plurality of images;clustering ...

IMAGE PROCESSING DEVICE, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

An image processing device includes: an image classifying section which, through a convolutional neural network, classifies each pixel of input image data as expressing or not expressing a handwritten image to calculate a classification probability of each pixel, the classification probability being a probability that the handwritten image is expressed; a threshold setting section which sets a first threshold when removal processing to remove the handwritten image is performed and a second threshold which is smaller than the first threshold when emphasis processing to emphasize the handwritten image is performed; and an image processor which adjusts a gradation value of pixels with a classification probability no smaller than the first threshold to remove the handwritten image when the removal processing is performed and adjusts the gradation value of pixels with a classification probability no smaller than the second threshold to emphasize the handwritten image when the emphasis processing is performed. 1. An image processing device comprising:an image classifying section configured to, through a convolutional neural network, classify each pixel of input image data as expressing or not expressing a handwritten image to calculate a classification probability of each pixel, the classification probability being a probability that the handwritten image is expressed;a threshold setting section configured to set a first threshold when removal processing is performed and a second threshold when emphasis processing is performed, the removal processing being image processing to remove the handwritten image, the emphasis processing being image processing to emphasize the handwritten image, the second threshold being smaller than the first threshold; andan image processor configured to adjust a gradation value of pixels for which the classification probability is no smaller than the first threshold to remove the handwritten image when the removal processing is performed and ...

Method and Apparatus for Image Data Transformation

Image data is transformed for display on a target display. A sigmoidal transfer function provides a free parameter controlling min-tone contrast. The transfer function may be dynamically adjusted to accommodate changing ambient lighting conditions. The transformation may be selected so as to automatically adapt image data for display on a target display in a way that substantially preserves creative intent embodied in the image data. The image data may be video data. 1. An apparatus for the display management of images , the apparatus comprising:an input to receive an input image signal;an input to access first information data for a reference display, the first information data comprising a black point level, a white point level, and a mid-point level for the reference display;an input to access second information data for a target display, the second information data comprising a black point level, a white point level, and a mid-point level for the target display;a processor to determine a transfer function to map pixel values of the input image signal to corresponding pixel values of an output image signal using the first and second information data, wherein the transfer function comprises three anchor points, wherein the first anchor point is determined using the black point levels of the reference and target displays, the second anchor point is determined using the white point levels of the reference and target displays, and the third anchor point is determined using the mid-point levels of the reference and target displays;a processor to map the input image signal to the output image signal using the determined transfer function; andan output to output the generated output image signal.2. The apparatus of claim 1 , wherein determining the transfer function with the processor further comprises applying a free parameter claim 1 , wherein the free parameter adjusts the slope of the transfer function at the third anchor point.3. The apparatus of claim 1 , wherein ...

USING A LIGHT COLOR SENSOR TO IMPROVE A REPRESENTATION OF COLORS IN CAPTURED IMAGE DATA

A method, a system, and a computer program product for applying a white balance correction to an image data captured by a camera sensor based on a current level of ambient color. The method includes capturing, via a camera sensor, image data of a scene. The method further includes contemporaneously measuring, via a light color sensor, an amount of ambient color. The method further includes calculating a determinant value that represents a magnitude of variance of colors in the scene. The method further includes in response to determining the determinant value is less than a determinant threshold: generating a white balance correction based at least in part on the measured amount of ambient color and applying the white balance correction to the image data to generate a corrected image data having colors that more accurately represent colors in the current scene. 1. A method comprising:capturing, using a camera sensor of an image capturing device, image data of a current scene;measuring, via a light color sensor of the image capturing device, an amount of ambient color;calculating, based on the amount of ambient color, a determinant value that represents a magnitude of variance of colors in the current scene; and generating a white balance correction based at least in part on the amount of ambient color; and', 'applying the white balance correction to the image data to generate a corrected image data having colors that more accurately represent colors in the current scene., 'in response to determining that the determinant value is less than a determinant threshold2. The method of claim 1 , wherein calculating the determinant value further comprises:generating a covariance matrix that represents all colors in the current scene; andcalculating the determinant value based on the covariance matrix.3. The method of claim 1 , further comprising:in response to determining the determinant value is greater than the determinant threshold, providing the image data to at least ...

Image Processing Apparatus That Prevents an Occurrence of Contouring, Non-Transitory Computer-Readable Recording Medium Storing an Image Processing Program, and Image Processing Method

An image processing apparatus includes a color conversion processing unit, a modulation difference creating unit, a color value modulating unit, and an output unit. The color conversion processing unit performs color conversion from an input color value of a target image to a corresponding output color value to obtain a tentative output color value. The modulation difference creating unit creates modulation differences. The modulation differences include combinations that are obtained by either setting or not setting a value equivalent to the minimum resolution of the tentative output color value for each color component of the tentative output color value. The color value modulating unit performs modulation on the tentative output color value by adding or subtracting a modulation difference selected at random to or from the tentative output color value. The output unit outputs the target image according to the color value obtained after modulation. 1. An image processing apparatus comprising:a color conversion processing unit configured to perform color conversion from an input color value of a target image to a corresponding output color value to obtain a tentative output color value;a modulation difference creating unit configured to create modulation differences, where the modulation differences include combinations that are obtained by either setting or not setting a value equivalent to a minimum resolution of the tentative output color value for each color component of the tentative output color value;a color value modulating unit configured to perform modulation on the tentative output color value by adding or subtracting a modulation difference selected at random to or from the tentative output color value; andan output unit configured to output the target image according to a color value obtained after modulation.2. The image processing apparatus according to claim 1 , wherein if the tentative output color value is a minimum value or a maximum value in a ...

Management Method of Color Data of Chromatic Image

The invention discloses a method of managing color data based on color data in an HSaIn format in an HSaIn color space, comprising: acquiring color data in an XYZ format at an input device side; converting the acquired color data in the XYZ format at the input device side into color data in an HSaIn format. The method can further comprise mapping the color data in the HSaIn format at the input device side to obtain color data in an HSaIn format at an output device side; converting the color data in the HSaIn format at the output device side into color data in an XYZ format; converting the color data in the XYZ format at the output device side into one in a format of the color data of the output device. Since a conversion of chromatic color data independent of the device into chromatic color data dependent on the output device is achieved in this method, the output chromatic image is not influenced by color characteristics of the output device; and the analytical matrix operation adopted in the managing process is easily achieved, so the calculating process for the conversion is simple, the conversion accuracy and efficiency are improved, and the conversion speed is accelerated

IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

An image processing apparatus includes an extraction unit, a memory controller, and a transfer unit. The extraction unit extracts, on the basis of image information, pieces of color information having a high frequency of occurrence as color information that is necessary to perform image processing. The memory controller causes a first memory to store a color information group including the pieces of color information extracted by the extraction unit. The transfer unit transfers the color information group from the first memory to a second memory, an access time of the second memory being shorter than an access time of the first memory. 1. An image processing apparatus comprising:an extraction unit that extracts, on the basis of image information, pieces of color information having a high frequency of occurrence as color information that is necessary to perform image processing;a memory controller that causes a first memory to store a color information group including the pieces of color information extracted by the extraction unit; anda transfer unit that transfers the color information group from the first memory to a second memory, an access time of the second memory being shorter than an access time of the first memory.2. The image processing apparatus according to claim 1 , wherein the color information group includes the pieces of color information extracted by the extraction unit and pieces of color information generated by changing lightness of the extracted pieces of color information.3. The image processing apparatus according to claim 1 , wherein the memory controller rearranges the pieces of color information included in the color information group in order of lightness and causes the first memory to store the color information group.4. The image processing apparatus according to claim 1 , further comprising:a resolution decreasing unit that decreases a resolution of the image information,wherein the extraction unit performs extraction on the basis of the ...

IMAGE FORMING APPARATUS AND TONER AMOUNT CALCULATING METHOD

A base toner amount determining unit is configured to determine a base toner amount without taking edge effect into account, the base toner amount corresponding to a pixel value of image data for which gradation correction has not been performed. A laser profile applying unit is configured to perform for the base toner amount a first spatial filter process corresponding to a laser profile of an exposure device. An edge emphasis amount determining unit is configured to perform a second spatial filter process for the base toner amount before the first spatial filter process or after the first spatial filter process and thereby determine an edge emphasis amount corresponding to the edge effect. A toner counter is configured to count as a toner consumption amount a sum of the base toner amount after the first spatial filter process and the edge emphasis amount. 1. An image forming apparatus , comprising:an exposure device;a base toner amount determining unit configured to determine a base toner amount without taking edge effect into account, the base toner amount corresponding to a pixel value of image data for which gradation correction has not been performed;a laser profile applying unit configured to perform for the base toner amount a first spatial filter process corresponding to a laser profile of the exposure device;an edge emphasis amount determining unit configured to perform a second spatial filter process for the base toner amount before the first spatial filter process or after the first spatial filter process and thereby determine an edge emphasis amount corresponding to the edge effect; anda toner counter configured to count as a toner consumption amount a sum of the base toner amount after the first spatial filter process and the edge emphasis amount.2. The image forming apparatus according to claim 1 , wherein the edge emphasis amount determining unit (a) performs the second spatial filter process for the base toner amount after the first spatial filter ...

DYNAMIC CAMERA PIPELINES

Methods and apparatuses for a dynamic image pipeline are disclosed. In one aspect, an image pipeline includes a core pipeline configured to: receive an image from an image sensor, the received image being formatted in a first color space, and convert the received image into at least a second color space. The image pipeline may also include a plurality of detector circuits, each detector circuit configured to: receive the image from the core pipeline, and output at least one property related to a region of the received image based on the received image. The image pipeline may further include a plurality of effect circuits, each effect circuit configured to: receive output from at least one of the detector circuits, and apply an effect to the received image based on the output received from the at least one of the detector circuits. 1. An image pipeline for an imaging device , comprising: receive an image from an image sensor, the received image being formatted in a first color space, and', 'convert the received image into at least a second color space;, 'a core pipeline configured to receive the image from the core pipeline, and', 'output at least one property related to a region of the received image based on the received image; and, 'a plurality of detector circuits, each detector circuit configured to receive output from at least one of the detector circuits, and', 'apply an effect to the received image based on the output received from the at least one of the detector circuits., 'a plurality of effect circuits, each effect circuit configured to2. The image pipeline of claim 1 , wherein each of the effect circuits is further configured to receive output from a different one of the detector circuits in response to a command received from a processor of the imaging device.3. The image pipeline of claim 1 , further comprising:a register configured to: define connections between the detector circuits and the effect circuits, and be programmed to redefine the ...

Two-dimensional cinematic medical imaging in color based on deep learning

A 2D medical image is colorized. In one approach, a deep-learnt classifier is trained to colorize from color 2D medical images. The color 2D medical images for training are cinematically rendered from slabs to add color. In another approach, a deep machine-learnt generator creates slices as if adjacent to the 2D medical image. The slices and 2D medical image form a slab, which is cinematically rendered to add color. The result is a colorized 2D medical image.

Methods and Apparatus for Enhancing Optical Images and Parametric Databases

Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation. The apparatus also includes a reconstructor that reconstructs an enhanced image from the modified representation and returns the enhanced image. 1. A method , comprising ,identifying an image;deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis;modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation;reconstructing an enhanced image from the modified frequency-based spatial domain representation; andreturning the enhanced image.2. The method of claim 1 , wherein the deconstructing comprises:performing a downward pass that operates on a plurality of levels of the pyramidal data structure on a sequential frequency-by-frequency basis from higher to lower frequency to downsample at each level to generate a lower resolution downsampled image and a residue image at the lowest level;performing an ...

IMAGE FORMING SYSTEM

An image forming system includes an image forming apparatus which forms an image on a sheet, an image reading apparatus which reads the image formed on the sheet by the image forming apparatus, and a finisher which performs a post-printing process with the sheet. The image forming system further includes: a paper path which is provided in the image reading apparatus and through which the sheet is passed; and an electricity eliminator which is arranged in the upstream side of the finisher to eliminate static electricity of the sheet, wherein the electricity eliminator applies at least one of water and charge to front and back sides of the sheet. 1. An image forming system including an image forming apparatus which forms an image on a sheet , an image reading apparatus which reads the image formed on the sheet by the image forming apparatus , and a finisher which performs a post-printing process with the sheet , the image forming system comprising:a paper path which is provided in the image reading apparatus and through which the sheet is passed; andan electricity eliminator which is arranged in the upstream side of the finisher to eliminate static electricity of the sheet, whereinthe electricity eliminator applies at least one of water and charge to front and back sides of the sheet.2. The image forming system of wherein the electricity eliminator comprising:a humidifier which is freely arranged between the image forming apparatus and the finisher to apply water to the front and back sides of the sheet.3. The image forming system of whereinthe electricity eliminator further comprises a charge applicator which is freely arranged between the image forming apparatus and the finisher and serves to apply charge to the front and back sides of the sheet, and whereinthe charge applicator is located in the upstream side of the humidifier.4. The image forming system of whereineither one of the humidifier and the charge applicator is arranged in an upstream side of the image ...

Enhance highlighter color in scanned images

Examples herein involve retrieving a color transformation from a highlighter color transform, and processing an image using the color transformation to enhance highlighter colors in the image, the image scanned by a scanner using strobed illumination.

METHOD FOR CONTROLLING AN IMAGE DISPLAY DEVICE TO ALLOW AN OBSERVER TO PERCEIVE COLOURS AS ANOTHER OBSERVER

Method for transforming a first version of a color to be reproduced by a proof viewing device a into a second version of the same color to be reproduced by the same proof viewing device in a way that a first human observer perceives this color reproduced on said proof viewing device according to said second version as this color is perceived on a final color reproduction device by a second human observer having human visual characteristics different from those of the first observer. 1. Method for transforming in a color transformer a first version of a color to be reproduced by a proof viewing device a into a second version of the same color to be reproduced by the same proof viewing device in a way that a first human observer perceives this color reproduced on said proof viewing device according to said second version as this color is perceived on a final color reproduction device by at least one second human observer , said method comprising:A/ Transforming device-dependent color coordinates adapted to control said proof viewing device P in order to reproduce said color according to said first version, into device-independent-and-observer-A-dependent color coordinates using a first color characterization model of said proof viewing device calibrated to the human visual characteristics of said first human observer;B/ Transforming said device-independent-and-observer-A-dependent color coordinates into device-dependent-and-observer-A-dependent color coordinates using a second color characterization model of said final color reproduction device calibrated to the human visual characteristics (A) of said first human observer;C/ Transforming said device-dependent-and-observer-A-dependent color coordinates into device-independent-and-observer-B-dependent color coordinates using a third color characterization model for said final color reproduction device calibrated to the human visual characteristics (B) of said second human observer which are different from the human ...

IMAGE FORMING APPARATUS, IMAGE FORMING METHOD, AND MEDIUM

An image forming apparatus is provided that can provide a natural edge processing even if a toner save processing and a line width correction processing are configured in parallel. The image forming apparatus detects an edge neighboring region of an input image in a predetermined direction. The edge neighboring region detected by the neighboring edge detection step is subjected to a line width correction processing. An edge region of the input image in a direction other than the predetermined direction is detected. Then, a toner save processing is performed on a no-edge region that is a region other than the edge region detected by the edge detection step. 1. An image forming apparatus , comprising:an input unit configured to input an binary image consisting of white pixels and black pixels;a first convert unit configured to convert white pixels which neighbor a part of an edge region of the black pixels in the binary image into black pixels;a second convert unit configured to convert at least one black pixel which is included in the part of the edge region of the black pixels in the binary image into one or more white pixels; anda control unit configured to control whether or not the conversion by the second convert unit is executed on the basis of whether or not the conversion by the first convert unit is executed.2. An image forming apparatus , comprising:an edge neighboring detection unit configured to detect an edge neighboring region of an input image in a predetermined direction;a line width correction processing unit configured to perform a line width correction processing on the edge neighboring region detected by the edge neighboring detection unit;an edge detection unit configured to detect, in the input image, an edge region in a direction other than the predetermined direction; anda toner save processing unit configured to perform a toner save processing on a no-edge region that is a region other than the edge region detected by the edge detection unit. ...

IMAGE FORMING APPARATUS THAT REPRODUCES COLOR TO BE PRINTED WITH SINGLE COLOR MATERIAL ALONE AND BLACK, RECORDING MEDIUM, AND COLOR CONVERSION METHOD

An image forming apparatus includes a control unit with a reduction mode using a reduced consumption of the color material. The reduction rule includes a rule of conversion configured to, in a constant hue plane of the input color value, move all color values on a straight line passing through a lowest brightness color value and the input color value in a direction from a highest saturation color value to a highest brightness color value, so as to convert into color values on a straight line passing through the lowest brightness color value and a converted input color value where the input color value is converted, the lowest brightness color value being indicative of a color value of lowest brightness, the highest saturation color value being indicative of a color value of highest saturation, the highest brightness color value being indicative of a color value of highest brightness. 1. An image forming apparatus for printing using a color material by an amount according to an output color value converted from an input color value , the image forming apparatus comprising:a control unit that has at least one specified operation mode and a reduction mode, the reduction mode using a reduced consumption of the color material compared with the operation mode, the control unit compressing a color gamut of the input color value by a reduction rule when the reduction mode is selected, the reduction rule reducing the consumption of the color material,wherein the reduction rule includes a rule of conversion configured to, in a constant hue plane of the input color value, move all color values on a straight line passing through a lowest brightness color value and the input color value in a direction from a highest saturation color value to a highest brightness color value, so as to convert into color values on a straight line passing through the lowest brightness color value and a converted input color value where the input color value is converted, the lowest brightness color ...

IMAGE FORMING APPARATUS AND METHOD

An image forming apparatus including an image forming unit is provided. The apparatus determines a color of a tone patch for tone correction, to be composited with an image, in accordance with a color component used in the image; generates a patch-included image by compositing the tone patch of the color determined with the image; generates a corrected image by performing tone correction on the patch-included image on the basis of tone correction information for each color component; performs color measurement of the tone patch formed on the medium on which the corrected image has been formed, and updates the tone correction information on the basis of a value measured.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

In a case where density adjustment is performed on a plurality of density ranges, adjustment setting values of adjacent density ranges affect one another, and therefore, tone reversal occurs depending on adjustment setting values. Consequently, control points to be used are determined in accordance with a combination of density ranges to be adjusted of the plurality of density ranges. Further, a density level at an intermediate point in a density range to be adjusted is adjusted based on an adjustment level of the density range to be adjusted. Then, by performing interpolation between the control points to be used including an intermediate point whose density level is adjusted, density characteristics data indicative of density characteristics is generated and then density adjustment of image data is performed. 1. An image processing apparatus capable of performing density adjustment on a plurality of density ranges , comprising:a determination unit configured to determine control points to be used in accordance with a combination of density ranges to be adjusted of the plurality of density ranges;an adjustment unit configured to adjust a density level at an intermediate point in the density range to be adjusted based on an adjustment level of the density range to be adjusted;a generation unit configured to generate density characteristics data indicative of density characteristics by performing interpolation between the control points to be used determined by the determination unit including an intermediate point whose density level is adjusted by the adjustment unit; anda control unit configured to perform density adjustment on image data based on the density characteristics data generated by the generation unit.2. The image processing apparatus according to claim 1 , whereinin a case where the density ranges to be adjusted are a plurality of adjacent density ranges, the determination unit determines the control points to be used by treating the plurality of ...

Single Image Haze Removal

A system and method for haze removal. The method comprises the steps of receiving, at a memory, an input image having pixels. The method further comprises converting, by a processor, each pixel in each channel of the input image to floating-point values in the range of zero to one [0,1], and brightness-correcting, by the processor, the input image to prevent the de-hazed output image from becoming overly dark. The method also includes estimating, by the processor, the airlight for the brightness-corrected image, calculating a transmission map for each color or intensity channel of the image, and refining the transmission map for each said color or intensity. A reduced-haze image is thereby provided. 1. A method for single image haze removal , comprising the steps of:receiving, at a memory device, an input image having pixels;converting, by a processor, each pixel in each channel of the input image to a floating-point value in a range of zero to one;performing, by the processor, a brightness correction on the converted input image;estimating, by the processor, airlight for the brightness-corrected input image;calculating, by the processor, a transmission map for one or more color channels or an intensity channel of the brightness-corrected input image;refining the transmission map for each said one or more color channels or the intensity channel; andproviding, by the processor, a haze-reduced image to the memory device.2. The method of claim 1 , wherein the estimating step includes the step of: {'br': None, 'i': A', 'A+', '·A, 'sub': 'prev', '=((19))/20'}, 'computing a weighted average of the estimated airlight for frames of a video according to equation{'sub': 'prev', 'wherein A is the estimated airlight for a current frame, and Ais a weighted airlight value that is updated each frame to value A, and'}wherein the input image is a frame of the video.3. The method of claim 1 , wherein the input image is a color image having three color channels and the estimating step ...

Method and system for dynamically producing color validation patches

An image forming apparatus, a method, and a computer readable medium are disclosed for generating color patches for color validation of a print engine of an image forming apparatus. The method includes acquiring a validation result on a first color validation chart with a sensing device, the sensing device configured to read a color validation chart, the color validation chart having one or more color patches, and wherein the validation result compares a color accuracy of each of the one or more color patches from the first color validation chart to a target color; and determining an order of each of the color patches in a second color validation chart to be printed based on the validation result on the first color validation chart, wherein the order of the color patches in the second color validation chart is determined based on color patches that do not match the target color.

IMAGE READING APPARATUS AND IMAGE FORMING SYSTEM

An image reading apparatus capable of performing accurate image correction is provided. The image reading apparatus is provided with a colorimeter which colorimetrically measures an image formed on a sheet based on the optical spectrum in a visible light range, a reference plate located in a position facing the colorimeter with a chromatic reflecting surface, a temperature detection unit configured to detect the temperature of the reference plate, the determination unit configured to determine whether or not the colorimeter is in a normal condition based on the temperature of the reference plate detected by the temperature detection unit and the optical spectrum in the visible light range. 1. An image reading apparatus comprising:a colorimeter structured to colorimetrically measures an image formed on a sheet based on an optical spectrum in a visible light range;a reference plate located in a position facing the colorimeter with a chromatic reflecting surface;a temperature detection unit structured to detect a temperature of the reference plate;a determination unit structured to determine whether or not the colorimeter is in a normal condition based on the temperature of the reference plate detected by the temperature detection unit and the optical spectrum in the visible light range.2. The image reading apparatus of whereinthe determination unit determines, when the temperature of the reference plate detected by the temperature detection unit is within a prescribed range around a reference temperature,that the colorimeter is in an abnormal condition if a peak of the optical spectrum as detected by the colorimeter in the visible light range is shifted as compared with an initial optical spectrum in the visible light range, andthat the colorimeter is in a normal condition if a peak of the optical spectrum as detected by the colorimeter in the visible light range is not shifted as compared with the initial optical spectrum in the visible light range.3. The image ...

METHOD FOR COLOR GRADING OF A DIGITAL VISUAL CONTENT, AND CORRESPONDING ELECTRONIC DEVICE, COMPUTER READABLE PROGRAM PRODUCT AND COMPUTER READABLE STORAGE MEDIUM

A method for color grading a first color frame according to a first reference color frame is described. The method includes selecting a color transformation already applied to one second color frame, according to a second reference color frame, the second color frame being different from the first color frame and applying, to said first color frame, the selected color transformation. The disclosure also relates to corresponding electronic device, computer readable program product and computer readable storage medium. 1. Method for color grading at least one first color frame according to at least one first reference color frame , said method comprising:selecting a color transformation already applied to at least one second color frame, according to at least one second reference color frame, said second color frame being different from said first color frame;applying, to said first color frame, said selected color transformation.2. The method for color grading according to claim 1 , wherein said first and second color frames are part of a same visual content.3. The method for color grading according to claim 1 , wherein said first and second reference color frames are part of a same visual content.4. The method for color grading according to claim 1 , wherein selecting said color transformation takes into account at least one criterion of spatial claim 1 , temporal and/or color proximity between said first and said second color frames.5. The method for color grading according to claim 1 , wherein said first and/or second color frame is a still image.6. The method for color grading according to claim 1 , wherein:said first color frame belongs to a first shot of a first audiovisual content,said first reference color frame belongs to a first reference shot of a first reference audiovisual content, said first reference shot corresponding to said first shot in said first reference audiovisual content;and wherein said method comprises associating said first shot to at ...

IMAGE FORMING APPARATUS, STORAGE MEDIUM, AND COLOR CONVERSION METHOD

An image forming apparatus prints an image using a color conversion table. The image forming apparatus includes a representative color acquisition section and a color adjustment section. The representative color acquisition section acquires at least one representative color of the image. The color adjustment section adjusts a reproduced color, of a color included in the image, obtained with reference to the color conversion table. The color adjustment section adjusts the reproduced color, of the color included in the image, obtained with reference to the color conversion table, based on positional relationship in a color space between a reproduced color of the representative color obtained by a display device and a reproduced color of the representative color obtained with reference to the color conversion table. 1. An image forming apparatus that print an image using a color conversion table , the image forming apparatus comprising:a representative color acquisition section configured to acquire at least one representative color of the image; anda color adjustment section configured to adjust a reproduced color, of a color included in the image, obtained with reference to the color conversion table, whereinthe color adjustment section adjusts the reproduced color, of the color included in the image, obtained with reference to the color conversion table, based on positional relationship in a color space between a reproduced color of the representative color obtained by a display device and a reproduced color of the representative color obtained with reference to the color conversion table.2. The image forming apparatus according to claim 1 , whereinthe color adjustment section suspends adjustment of a reproduced color, of a color present in a specific region in the color space, with reference to the color conversion table.3. The image forming apparatus according to claim 2 , whereinthe representative color acquisition section acquires an RGB value included in the ...