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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 6347. Отображено 100.
16-02-2012 дата публикации

Method, system and computer program product for object color correction

Номер: US20120039531A1
Автор: Chun-Wei Hsieh, I-Ju Tsai
Принадлежит: INSTITUTE FOR INFORMATION INDUSTRY

A method, a system, and a computer program product for object color correction are provided. Two images of the same target provided by two image capturing devices are introduced into an image conversion model constructed by an image conversion algorithm, and a color coefficient and a luminance coefficient for color space conversion are found, so as to convert the two images to a target color space. Then, the two images in the target color space are introduced into an image color distribution space model constructed by the image conversion algorithm, so as to obtain two different image color distribution space principal axes. The two image color distribution space principal axes are compared and adjusted to be parallel, thereby adjusting a color difference between the two images. The two images that are adjusted are converted back to an original color space, so as to obtain the two corrected images.

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Номер записи: 1
19-04-2012 дата публикации

Image processing method

Номер: US20120092534A1
Автор: Chan Min Chou, Yun Chin Li
Принадлежит: Altek Corp

An image processing method, applicable to a digital image device, includes the following steps. At least one original image of different brightness ranges is captured, and more images of different brightness ranges are generated from the original image by using an image post-processing technique. Based on characteristics of the image of each brightness range, the weights of the image of each brightness range are defined. Then, hierarchical fusion is performed on the images of the different brightness ranges according to weight relations, so as to form a high-dynamic-range image capable of presenting features of each brightness range.

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Номер записи: 2
10-05-2012 дата публикации

First-in-first-out (fifo) buffered median scene non-uniformity correction method

Номер: US20120113299A1
Автор: Stephen M. PALIK
Принадлежит: Raytheon Co

A buffered scene-based non-uniformity correction method includes receiving a plurality of frames of video image data from an image detector; determining relative movement of a current image frame with respect to a previous image frame and responsive to a determination of substantial movement, adding the current image frame to a buffer memory sized to store a predetermined number of video frames; averaging pixel values of the frames in the buffer to determine a mean (or weighted mean) value for each pixel of a reference image; determining correction terms for each pixel of the current image frame by determining the difference between the current image frame pixel values and the corresponding reference image pixels; and correcting the current image frame using the correction terms. A scene-based non-uniformity correction system is also disclosed.

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Номер записи: 3
15-11-2012 дата публикации

High-Speed Diversity-Based Imaging Method for Parallel Atmospheric Turbulence Compensation

Номер: US20120288212A1
Автор: William W. ARRASMITH
Принадлежит: Florida Institute of Technology Inc

An imaging method providing atmospheric turbulence compensation includes capturing a subject image pair. Data corresponding to the captured subject image pair is loaded into memory associated with a parallel processing device. A 2-D Fast Fourier Transform is performed on the stored image data and the transformed image data is stored. An optical transfer function is developed for the transformed image data. The optical transfer function is inverted and applied to the transformed image data to generate corrected image spectrum data that is compensated for atmospheric aberrations. An Inverse Fast Fourier Transform is applied to the corrected image spectrum data to produce corrected image data. The corrected image data is stored.

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Номер записи: 4
13-12-2012 дата публикации

Image processing method, image processing device, and recording medium

Номер: US20120314104A1
Автор: Tomohiro Nishiyama
Принадлежит: Canon Inc

In accordance with an object desired to be brought into focus, aliasing is canceled, and the resolution of an output image data is increased. When a plurality of pieces of image data captured at multiple viewpoints is synthesized at a predetermined focus position, a weight for the synthesis is determined so as to reduce aliasings included in frequency characteristics of the plurality of pieces of image data.

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Номер записи: 5
17-01-2013 дата публикации

Hyperspectral image reconstruction via a compressed sensing framework

Номер: US20130016284A1
Автор: Alvaro Enrique Gil, Lalit Keshav MESTHA
Принадлежит: Xerox Corp

What is disclosed is a system and method for image reconstruction using a compressed sensing framework to increase the number of wavelength bands in hyperspectral video systems. The present method utilizes a restricted representation matrix and sampling matrix to reconstruct bands to a very large number without losing information content. Reference multi-band image vectors are created and those vectors are processed in a block-wise form to obtain custom orthonormal representation matrices. A sampling matrix is also constructed offline in the factory. The compressed sensing protocol is applied using a l 1 -norm optimization (or relaxation) algorithm to reconstruct large number of wavelength bands with each band being interspersed within the band of interest that are not imaged. The teaching hereof leads to very large number of bands without increasing the hardware cost.

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Номер записи: 6
28-02-2013 дата публикации

Image pickup apparatus that carries out noise compensation, control method therefor, and storage medium

Номер: US20130050538A1
Автор: Toshiyuki Okubo
Принадлежит: Canon Inc

An image pickup apparatus which is capable of accurately compensating for noise even when images are continuously taken at varying exposures. First and second image signals corresponding to the first and second exposures are output. The first and second image signals are subjected to a noise compensation process and then synthesized together to obtain a composite image signal. Data obtained in the first and second image signals when the noise compensation process was carried out on the first and second image signal is inherited, and a noise compensation process on the next first and second signals is carried out based on the data.

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Номер записи: 7
28-02-2013 дата публикации

Image processing apparatus, image processing method, and program

Номер: US20130051700A1
Автор: Kensei Jo
Принадлежит: Sony Corp

There is provided an image processing apparatus including: an exposure compensation unit carrying out exposure compensation of a long exposure image and a short exposure image in keeping with an exposure ratio; a blur information measuring unit using the exposure-compensated images to calculate blur information showing a degree of discrepancy between pixel values at a corresponding pixel position in the long exposure image and the short exposure image; a blending coefficient calculating unit using the blur information to decide a blending coefficient to be used in a blending process on pixel values at the corresponding pixel position in the long exposure image and the short exposure image; and a blending unit carrying out the blending process on the pixel values at the corresponding pixel position in the long exposure image and the short exposure image using the calculated blending coefficient to decide the pixel value of an output image.

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Номер записи: 8
14-03-2013 дата публикации

METHOD AND SYSTEM FOR ENHANCING AN IMAGE

Номер: US20130064467A1
Автор: Abraham Michael
Принадлежит: ELTA SYSTEMS LTD.

There are provided a method for computerized generation of an enhanced image based on a plurality of acquired images (e.g. SAR images) and system thereof. The method comprises: (a) receiving a plurality of acquired images, each comprising a common area of interest; (b) receiving processing parameters; (c) grouping said plurality of acquired images into one or more groups; (d) processing the images within said one or more groups, wherein said processing comprises: i) for each given pixel within the common area of interest, calculating a likelihood of discrepancy between respective pixels of the images of said one or more groups, thus giving rise to likelihood of discrepancy values characterizing said given pixel; ii) generating a “likelihood of discrepancy matrix” comprising the likelihood of discrepancy values and characterizing the likelihood of discrepancy for each pixel within the common area of interest; iii) for each of said one or more groups, generating an enhanced image while utilizing said likelihood of discrepancy matrix. 1. A method for computerized generation of an enhanced image based on a plurality of images , the method comprising:(a) receiving a plurality of registered images, each comprising a common area of interest;(b) receiving processing parameters;(c) grouping said plurality of registered images into one or more groups; i) for each given pixel within the common area of interest, calculating a likelihood of discrepancy between respective pixels of the registered images of said one or more groups, thus giving rise to likelihood of discrepancy values characterizing said given pixel;', 'ii) generating a “likelihood of discrepancy matrix” comprising the likelihood of discrepancy values and characterizing the likelihood of discrepancy for each pixel within the common area of interest;', 'iii) for each of said one or more groups, generating an enhanced image while utilizing said likelihood of discrepancy matrix., '(d) processing the images within said ...

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Номер записи: 9
14-03-2013 дата публикации

Edge-preserving noise filtering

Номер: US20130064469A1
Автор: Bernhard Brendel, Thomas Koehler
Принадлежит: KONINKLIJKE PHILIPS ELECTRONICS NV

The invention relates to an image processing apparatus ( 1 ) comprising an image providing unit ( 2 ) for providing a first image of an object and a second image of the same object and a filtering unit ( 3 ) which filters the first image depending on a first degree of similarity between image values of the first image and on a second degree of similarity between image values of the second image. This allows filtering the first image depending on the likeliness that image values belong to the same part of the object, for example, to tissue or to bone material of the object, if the object is a human being or an animal, even if due to noise the image values of one of the first image and the second image are disturbed, thereby improving, for example, an edge preserving property of the filtering procedure.

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Номер записи: 10
28-03-2013 дата публикации

Metadata-Driven Method and Apparatus for Constraining Solution Space in Image Processing Techniques

Номер: US20130077890A1
Автор: Chen Simon, Chien Jen-Chan, Jin Hailin
Принадлежит: ADOBE SYSTEMS INCORPORATED

Methods and apparatus for constraining solution space in image processing techniques may use the metadata for a set of images to constrain an image processing solution to a smaller solution space. In one embodiment, a process may require N parameters for processing an image. A determination may be made from metadata that multiple images were captured with the same camera/lens and with the same settings. A set of values may be estimated for the N parameters from data in one or more of the images. The process may then be applied to each of images using the set of values. In one embodiment, a value for a parameter of a process may be estimated for an image. If the estimated value deviates substantially from a value for the parameter in the metadata, the metadata value is used in the process instead of the estimated value. 124-. (canceled)25. A computer-implemented method , comprising:estimating, from image content of an image, a value for a parameter to be used in a digital image processing technique when applied to the image;obtaining, from metadata corresponding to the image, a value for the parameter determined when capturing the image;determining that a difference between the estimated value for the parameter and the value for the parameter obtained from the metadata exceeds a threshold; andapplying the digital image processing technique to the image to generate an output image, the value for the parameter obtained from the metadata is used in the digital image processing technique instead of the estimated value in response to the determining that the different exceeds the threshold.26. A computer-implemented method as described in claim 25 , wherein the digital image processing technique is a vignette removal process.27. A computer-implemented method as described in claim 26 , wherein the parameter is exposure.28. A computer-implemented method as described in claim 25 , wherein the applying is performed to drive estimation of other variables in the digital image ...

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Номер записи: 11
04-04-2013 дата публикации

OVERLAY IMAGE CONTRAST ENHANCEMENT

Номер: US20130083981A1
Автор: HIRSON Desmond, Mehi James, Poon Stanley, White Christopher A.
Принадлежит:

A method of creating an image difference overlay comprises identifying a loop of reference images of a subject and identifying a loop of data images of the subject. The loop of image data can be identified after an event, such as the administration of contrast agent to the subject. A reference loop image frame is compared to one or more data loop image frames and the reference loop frame is associated with a data loop image frame which closely resembles the data loop image frame. Each of the associated frames can then be processed and used to create an image difference overlay frame. 158-. (canceled)59. A method of producing an enhanced medical image of a subject , comprising:producing a reference set of medical images of the subject or a portion thereof using a medical imaging modality, wherein the reference set of medical images comprises a plurality of reference set images;creating an area of increased image contrast in the subject; producing a data set of medical images of the subject or a portion thereof using the medical imaging modality, wherein the data set of medical images comprises a plurality of data set images, each data set image comprising data received from the area of increased image contrast;comparing at least one data set image to a plurality of reference set images;determining the relative similarity between the data set image and each compared reference set image;selecting a data-reference image pair, wherein the data-reference image pair comprises a data set image and a reference set image, and wherein the data-reference image pair is based on the reference image's determined relative similarity to the data image; andprocessing the data-reference image pair to create the enhanced medical image by removing the areas of substantial similarity between the data image and the reference image of the data-reference image pair.60. A system for producing an enhanced medical image of a subject , comprising:a medical imaging modality for producing a ...

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Номер записи: 12
04-04-2013 дата публикации

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND INTEGRATED CIRCUIT

Номер: US20130084021A1
Автор: Ito Takeshi, Monobe Yusuke, Yamashita Haruo
Принадлежит: Panasonic Corporation

The grayscale of an input signal is converted without amplifying noise components thereof. A grayscale conversion portion performs grayscale conversion on an input signal IS to create a converted signal TS, a noise reduction degree determining portion determines a noise reduction degree NR that expresses a strength of noise reduction processing to be applied to the converted signal based on the input signal IS and the converted signal TS, and a noise reducing portion executes noise reduction processing on the converted signal TS based on the noise reduction degree NR. By doing this, it is possible to convert the grayscale of the input signal without enhancing the noise. 127-. (canceled)28. An image processing device comprising:a grayscale conversion portion configured to obtain a converted signal by performing grayscale conversion on an input signal that is made from pixel data that form an image; anda noise reducing portion configured to execute noise reduction processing on the converted signal based on a signal level of the input signal and a grayscale conversion gain that is a ratio of the converted signal to the input signal,{'b': 1', '2', '1', '2', '1', '2', '1', '2', '1', '2, 'wherein (i) when the grayscale conversion portion performs the grayscale conversion on a first input signal value P and a second input signal value P that have a signal level Il as the signal level of the input signal, (ii) when the noise reducing portion obtains two different gain values G, G of the grayscale conversion gain for the first input signal value P and the second input signal value P respectively, and (iii) when the gain value G is greater than the gain value G, the noise reducing portion reduces noise for the first input signal value P to a greater degree than for the second input signal value P, and'}{'b': 3', '3', '1', '3', '1, 'the noise reducing portion reduces noise for a third input signal value P that has a signal level I to a lesser degree than for the first input ...

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Номер записи: 13
11-04-2013 дата публикации

METHOD AND SYSTEM FOR NOISE REDUCTION IN LOW DOSE COMPUTED TOMOGRAPHY

Номер: US20130089252A1
Автор: Shechter Gilad
Принадлежит: KONINKLIJKE PHILIPS ELECTRONICS N.V.

A method includes de-noising projection data from a lower dose scan in the projection domain, reconstructing the de-noised projection data to generate volumetric image data, and de-noising the volumetric image data in the image domain. A system includes a projection domain processor () that de-noises projection data from a lower dose scan, a reconstructor () that reconstructs the de-noised projection data and generates image data, and an image domain processor () that de-noises the image data such that a noise level of the de-noise image data is substantially the same as an estimated image data noise level of image data for a higher dose scan. 1. A method , comprising:de-noising projection data from a lower dose scan in the projection domain, wherein the lower dose scan corresponds to a scan which produces image data with a noise level that is higher than a predetermined target image data noise level;reconstructing the de-noised projection data to generate volumetric image data; andde-noising the volumetric image data in the image domain.2. The method of claim 1 , wherein the de-noised image data has a noise level substantially the same as the predetermined target image data noise level.3. The method of claim 1 , wherein the lower dose scan has an effective dose of sub-mSv and the higher dose scan has an effective dose of ten mSv or higher.4. The method of claim 1 , further comprising:adaptively de-noising the projection data based on a local noise variance and a kcal variation.5. The method of claim 4 , wherein projection data having a lower local noise variance and a higher local variation are de-noised less than projection data having a higher local noise variance and a lower local variation are de-noised.6. The method of claim 1 , further comprising:determining a noise level of the image data;estimating a noise level for the image data of the higher dose scan; andde-noising the image data based on the determined and estimated noise levels.7. The method of claim ...

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Номер записи: 14
11-04-2013 дата публикации

IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD

Номер: US20130089268A1
Автор: Monobe Yusuke, Nguyen Khang
Принадлежит:

An image processing device includes: a first band limiting unit that reduces noise included in an input image; and a restoring unit, wherein the restoring unit has a difference calculating unit that calculates a difference between the input image and a noise-reduced image, a predicted noise obtaining unit that obtains a predicted noise amount to be included in the input image, a correction signal generating unit that generates a correction signal for correcting the noise-reduced image and controlling an absolute value of the difference between the input image and the noise-reduced image within a range of the predicted noise amount, and an image synthesizing unit that corrects the noise-reduced image based on the correction signal. 1. An image processing device comprising:a first band limiting unit configured to reduce noise included in an input image; anda restoring unit configured to perform a restoration processing on a noise-reduced image to restore image information other than the noise, the noise-reduced image being the input image subjected to a noise reduction processing in the first band limiting unit, and the image information being degraded by the performance of the noise reduction processing,wherein the restoring unit includes:a difference calculating unit configured to calculate a difference between the input image and the noise-reduced image;a predicted noise obtaining unit configured to obtain a predicted noise amount to be included in the input image;a correction signal generating unit configured to generate a correction signal for correcting the noise-reduced image and controlling an absolute value of the difference between the input image and the noise-reduced image within a range of the predicted noise amount; andan image synthesizing unit configured to correct the noise-reduced image based on the correction signal.2. The image processing device according to claim 1 ,wherein the difference calculating unit is configured to calculate the difference ...

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Номер записи: 15
11-04-2013 дата публикации

Image processing apparatus

Номер: US20130089270A1
Автор: Wataru Takayanagi
Принадлежит: Sanyo Electric Co Ltd

An image processing apparatus includes an acquirer. An acquirer acquires a plurality of images, respectively corresponding to a plurality of exposure amounts different from one another, and each of which represents a common scene. A calculator calculates a composite coefficient with reference to at least a part of luminance characteristics of the plurality of images acquired by the acquirer 1 . A first composer composes the plurality of images acquired by the acquirer with reference to the composite coefficient calculated by the calculator. A corrector corrects a value of the composite coefficient calculated by the calculator with reference to a luminance characteristic of a composed image created by the first composer. A second composer composes the plurality of images acquired by the acquirer with reference to a composite coefficient having the value corrected by the corrector.

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Номер записи: 16
18-04-2013 дата публикации

Method and Apparatus for Prediction Unit Size Dependent Motion Compensation Filtering Order

Номер: US20130094779A1
Автор: Budagavi Madhukar, Srinivasan Ranga Ramanujam
Принадлежит: TEXAS INSTRUMENTS INCORPORATED

A motion compensation method and apparatus. The method includes retrieving data relating to a reference bock, performing a transpose on the retrieved data, performing vertical filtering on the transposed retrieved data, performing one or more transpose on the vertically filtered data, performing horizontal filtering on the transposed vertically filtered dad, and generating an interpolated bock and storing the interpolated block. 1retrieving data relating to a reference bock;performing a transpose on the retrieved data;performing vertical filtering on the transposed retrieved data;performing one or more transpose on the vertically filtered data;performing horizontal filtering on the transposed vertically filtered data; andgenerating an interpolated bock and storing the interpolated block.. A motion compensation method of a digital processor, comprising: This application claims benefit of U.S. provisional patent application Ser. No. 61/559,948, filed Oct. 15, 2011, and 61/543,168, filed Oct. 4, 2011, which are herein incorporated by reference.1. Field of the InventionEmbodiments of the present invention generally relate to a method and apparatus for prediction unit size dependent motion compensation filtering order.2. Description of the Related ArtThe motion compensation order is fixed for all prediction unit block sizes in HM 4.0 for high efficiency setting. Horizontal filtering is carried out first and the output of the horizontal filtering is rounded to fit within 16 bits. The rounded output from the first stage is then vertically filtered.is an embodiment of a motion compensation apparatus. As shown in , Transpose and Transpose are used for row access from input memory and row access to output memory. Transpose reads in row at a time and writes out column at a time. Transpose reads in column at a time and writes out row at a time. Several multiplexers are used to bypass different blocks for special cases of filtering, such as, H subpel, V subpel, Integer pel, etc. ...

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Номер записи: 17
16-05-2013 дата публикации

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20130120451A1
Автор: Miyoshi Ai, Sasaki Yoshitaka
Принадлежит: CANON KABUSHIKI KAISHA

When combining a virtual subject with a background image, there may be a case where the hue is different between both and a feeling of difference arises. Moreover, conventionally, it is necessary to manually adjust rendering parameters etc. from the rendering result, which takes time and effort. An image processing device that combines a virtual subject with a background image to generate a combined image is characterized by including a correction coefficient deriving unit configured to derive a correction coefficient by performing rendering of a color object arranged in a position where the virtual subject is placed using an environment map indicating information of a light source around the virtual subject, a background image correcting unit configured to correct the background image based on the derived correction coefficient, and a combining unit configured to combine a corrected background image and the virtual subject using the environment map. 1. An image processing device that combines a virtual subject with a background image to generate a combined image , the device comprising:a correction coefficient deriving unit configured to derive a correction coefficient by performing rendering of a color object arranged in a position where the virtual subject is placed using an environment map indicating information of a light source around the virtual subject;a background image correcting unit configured to correct the background image based on the derived correction coefficient; anda combining unit configured to combine a corrected background image and the virtual subject using the environment map.2. The image processing device according to claim 1 , wherein the color object is an achromatic color object.3. An image processing device that combines a virtual subject with a background image to generate a combined image claim 1 , the device comprising:a first correction coefficient deriving unit configured to derive a first correction coefficient by performing ...

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Номер записи: 18
16-05-2013 дата публикации

Elegant Solutions for Fingerprint Image Enhancement

Номер: US20130121607A1
Автор: Kumar T. N. Santhosh, Narsimham K.L.K.R., Thaniyath Shajil Asokan
Принадлежит: TEXAS INSTRUMENTS INCORPORATED

This invention includes image processing techniques directed to achieve feature enhancement and background-foreground enhancement in fingerprint images. The image is divided into plural segments depending on the ridge-valley directions. Each segment is separately filtered with a directional filter generally perpendicular to the corresponding ridge-valley direction. Background-foreground detection employs edge detection to identify edge pixels. These edge pixels are averaged to determine a threshold. The threshold is applied to the original image to determine background and foreground pixels. The background and foreground pixels are filtered via a watershed fill filter with separate connectivity for background and foreground pixels. 1. A method of filtering a fingerprint image comprising the steps of:receiving an input fingerprint image;separating the input fingerprint image into plural, distinct segments, each segment having ridge-valley lines within a predetermined range of angles;directionally filtering each of said segments with a corresponding directional filter generally perpendicular to said predetermined range of angles of said segment;assembling said directionally filtered segments into a reassembled image; detecting all ridge-valley edge pixels,', 'averaging pixel values of said detected edge pixels,', 'setting each pixel in said reassembled image to foreground if said corresponding pixel value is greater than said average edge pixel value, and', 'setting each pixel in said reassembled image to background if said corresponding pixel value is less than said average edge pixel value;, 'after said reassembling step, thresholding said fingerprint image by'} for each background pixel identifying other background pixels horizontally or vertically adjacent, and', 'replacing each background pixel with a foreground pixel if said identified background pixels are less in number than a predetermined number; and, 'after said thresholding step, watershed filling said ...

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Номер записи: 19
23-05-2013 дата публикации

IMAGE RESTORATION BY VECTOR QUANTIZATION UTILIZING VISUAL PATTERNS

Номер: US20130129197A1
Автор: Sun Xiaoyan, Wu Feng
Принадлежит: MICROSOFT CORPORATION

The restoration of images by vector quantization utilizing visual patterns is disclosed. One disclosed embodiment comprises restoring detail in a transition region of an unrestored image, by first identifying the transition region and forming blurred visual pattern blocks. These blurred visual pattern blocks are compared to a pre-trained codebook, and a corresponding high-quality visual pattern blocks is obtained. The high-quality visual pattern block is then blended with the unrestored image to form a restored image. 1. A computing device comprising memory and instructions stored in memory and executable by the computing device to perform a method of training a codebook , the method comprising:for a training set of images comprising a high-resolution image, creating a blurred image that is lower in resolution than the high resolution image;detecting a location of an edge pixel in the transition region of the blurred image;defining a blurred visual pattern block that includes the edge pixel in the blurred image;defining a high-resolution visual pattern block in the high-resolution image corresponding to the edge pixel in the blurred image;determining a high-quality visual pattern block codeword corresponding to the high-resolution visual pattern block;determining a blurred visual pattern block codeword corresponding to the high quality visual pattern codeword; andforming a pair of two codewords comprising the high-quality visual pattern block codeword and the blurred visual pattern block codeword.2. The computing device of claim 1 , wherein the training set comprises a plurality of high-resolution images.3. The computing device of claim 1 , wherein the instructions are executable to use the codebook to restore detail in a transition region of an unrestored image.4. The computing device of claim 1 , wherein the instructions are executable to identify a blurred visual pattern block associated with the transition region claim 1 , compare a blurred visual pattern block ...

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Номер записи: 20
23-05-2013 дата публикации

Illuminant Estimation

Номер: US20130129204A1
Автор: Finlayson Graham D., Fredembach Clement
Принадлежит: Apple Inc.

In a method of chromagenic illuminant estimation pixels from mutually-corresponding images with different filtering are compared, a fraction of the brightest pixels being selected for a subsequent chromagenic estimation. The pixels may be at corresponding locations or they may correspond in that their mean brightness is in the same rank order. In one method, in which, in a first preprocessing stage, for a database of m lights E(λ) and n surfaces S(λ) there is calculated T˜QQwhere Qand Qrepresent the matrices of unfiltered and filtered sensor responses to the n surfaces under the i th light and + denotes an inverse, and in a second operation stage, given P surfaces in an image and 3×P matrices Q and Q, from these matrices there are chosen the r % brightest pixels giving the matrices Q′ and Q′, and the scene illuminant Pis estimated where formula (I) and (II). 1. A non-transitory program storage device comprising instructions stored thereon to cause one or more processors to:obtain access to a first image having a first set of spectral components;obtain access to a second image having a second set of spectral components, wherein the first and second images are mutually corresponding images;select a particular fraction of pixels from each of the first and second images in descending order of brightness; andgenerate a chromagenic illuminant estimation based, at least in part, on the selected particular fraction of pixels.2. The non-transitory program storage device of claim 1 , wherein the mutually corresponding images have a different filtering.3. The non-transitory program storage device of claim 2 , wherein the mutually corresponding images comprise a filtered image and an unfiltered image.4. The non-transitory program storage device of claim 1 , wherein brightness values of pixels in the first image are compared with brightness values of pixels in the second image in rank order.5. The non-transitory program storage device of claim 1 , wherein the instructions to ...

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Номер записи: 21
23-05-2013 дата публикации

Method and Device for Obtaining an Image of a Crumpled Document From an Image of Said Document When Same is Crumpled

Номер: US20130129248A1
Автор: Doublet Julien, Picard Sylvaine, Revelin Stephane, Verilhac Michael
Принадлежит: MORPHO

The present invention relates to a method and device for obtaining an image of a crumpled document from an image of this document when it is crumpled. The method comprises a step of determining a three-dimensional geometric model of the surface of the crumpled document by triangulation of three-dimensional points defined from the pattern of a target extracted from the image of this document when it is crumpled; the method is characterised in that it comprises a step of determining a projection of the three-dimensional geometric model onto a so-called acquisition plane, by means of error minimisation of this projection under constraints of preserving defined geometric characteristics in the vicinity of the three-dimensional points, and in that it comprises a step of superimposing the textures associated with the three-dimensional model onto the projection of this model thus determined. The present invention likewise relates to target patterns that make it possible to improve the quality of the image resulting from the method to be improved and/or to reduce the cost for computing said image. 1. A method for obtaining an image of a smoothed-out document from an image (I) of this document when it is crumpled (DO) , said method comprising{'b': '100', 'sub': 'i', 'a step () of determining a three-dimensional geometric model (M3D) of the surface of the crumpled document (DO) by triangulation of three-dimensional points (u) defined from the pattern of a target (M) extracted from the image (I) of this document when it is crumpled,'}{'b': '200', 'sub': 'i', 'a step () of determining a projection (M2D) of the three-dimensional geometric model (M3D) on a so-called acquisition plane by minimisation of error (ERR) of this projection under constraints of preservation of the distances between the three-dimensional points (u) of the three-dimensional geometric model,'}wherein the error (ERR) in projection of the three-dimensional geometric model (M3D) is also minimised under ...

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Номер записи: 22
30-05-2013 дата публикации

IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS AND IMAGE FORMING APPARATUS INCLUDING THE SAME, IMAGE READING APPARATUS, AND RECORDING MEDIUM

Номер: US20130135637A1
Автор: OHIRA Masakazu
Принадлежит:

An image processing apparatus includes: a line noise detection section for detecting line noise pixels included in input image data; a segmentation process section for determining a pixel in a text region; and a line noise removal process section for (i) determining a replacement-target line noise pixel by excepting, from the line noise pixels, the pixel in the text region and a pixel within a first distance from the pixel in the text region and (ii) replacing the replacement-target line noise pixel with another pixel other than the line noise pixels, which another pixel is included in the input image data. 1. An image processing apparatus , comprising:a line noise detection section for detecting line noise pixels included in input image data;a segmentation process section for determining at least a pixel in a text region of the input image data; anda line noise removal process section for (i) determining a replacement-target line noise pixel by excepting, from the line noise pixels, the pixel in the text region and a pixel within a first distance from the pixel in the text region and (ii) replacing the replacement-target line noise pixel with another pixel other than the line noise pixels, which another pixel is included in the input image data.2. The image processing apparatus according to claim 1 , wherein the line noise removal process section includes:a mask image generation section for generating mask image data which indicates locations of the line noise pixels and locations of pixels other than the line noise pixels in the input image data;a mask correction section for generating a line noise replacement mask from the mask image data by correcting, to a non-replacement-target line noise pixel that does not need to be replaced, at least one, of the line noise pixels, which is other than the replacement-target line noise pixel; anda line noise replacement process section for replacing, with the another pixel which is other than the line noise pixels and is ...

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Номер записи: 23
06-06-2013 дата публикации

METHODS OF AND APPARATUS FOR PROCESSING COMPUTER GRAPHICS

Номер: US20130141445A1
Автор: Engh-Halstvedt Andreas, Heggelund Frode, Nystad Jorn, Pedersen Ronny
Принадлежит: ARM LIMITED

When carrying out a second, higher level of anti-aliasing such as 8× MSAA, in a graphics processing pipeline configured to “natively” support a first level of anti-aliasing, such as 4× MSAA, the rasterisation stage early Z (depth) and stencil test stage late Z (depth) and stencil test stage blending stage and downsampling and writeback (multisample resolve) stage of the graphics processing pipeline process each graphics fragment or pixel that they receive for processing in plural processing passes, each such processing pass processing a sub-set of the sampling points that the fragment represents, but the fragment shader is configured to process each graphics fragment in a processing pass that processes all the sampling points that the fragment represents in parallel, so as to ensure compliance with the desired higher level of multisampled anti-aliasing. 1. A method of carrying out a higher level of multisampled anti-aliasing in a graphics processing pipeline having a plurality of processing stages , at least some of which are configured to natively support a lower level of multisampled anti-aliasing , the method comprising:when performing the higher level of multisampled anti-aliasing:the rasteriser of the graphics processing pipeline generating graphics fragments each representing a set of sampling points for the higher level of anti-aliasing, and passing those fragments to later stages of the graphics processing pipeline for processing;one or more of the later processing stages of the graphics processing pipeline processing each graphics fragment that they receive for processing in a processing pass that processes all the sampling points that the fragment represents in parallel; andone or more other later processing stages of the graphics processing pipeline processing each graphics fragment that they receive for processing in one or more processing passes, each such processing pass processing a sub-set of the sampling points of the set of sampling points that the ...

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Номер записи: 24
06-06-2013 дата публикации

INFORMATION PROCESSING APPARATUS AND METHOD

Номер: US20130142441A1
Автор: Goto Shuichi
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

An information processing apparatus and method by which impulse noise can be canceled while surely maintaining details of a captured image is provided. The information processing apparatus includes an image acquisition unit for acquiring a captured image; a noise pixel extractor for extracting, from the captured image, a noise pixel that forms impulse noise; a pattern determiner for determining whether an arrangement of the noise pixel is identical to a predetermined pattern; and a noise canceller for performing noise cancellation with respect to the noise pixel upon a determination that the arrangement of the noise pixel is not identical to the predetermined pattern. 1. An information processing apparatus comprising:an image acquisition unit for acquiring a captured image;a noise pixel extractor for extracting a plurality of noise pixels that forms impulse noise with respect to other surrounding pixels within the captured image;a pattern determiner for determining whether an arrangement of the noise pixels is identical to a predetermined pattern; anda noise canceller for performing, upon a determination that the arrangement of the noise pixel is not identical to the predetermined pattern, noise cancellation with respect to the noise pixels.2. The information processing apparatus of claim 1 , wherein the noise pixel extractor extracts claim 1 , as a target pixel claim 1 , a pixel from the captured image and extracts the noise pixels from a target area including the target pixel.3. The information processing apparatus of claim 2 , wherein the pattern determiner sets at least one predetermined pattern according to a number of noise pixels in the captured image and compares the arrangement of the noise pixels with the at least one predetermined pattern.4. The information processing apparatus of claim 3 , wherein claim 3 , if the pattern determiner determines that the arrangement of the noise pixels is not identical to any of the at least one predetermined pattern claim ...

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Номер записи: 25
06-06-2013 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20130142449A1
Автор: Shimizu Masayoshi, TOYODA Yuushi
Принадлежит: FUJITSU LIMITED

An image processing apparatus includes a reducing unit that reduces an input image chronologically input as moving images and accumulates a reduced image of the input image as a first reduced image in a predetermined memory. The image processing apparatus further includes a generating unit that generates, as a second reduced image, one reduced image from multiple first reduced images accumulated in the memory. The image processing apparatus further includes a smoothing unit that smooths level values of a pixel included in the second reduced image and pixels surrounding the pixel with respect to each of multiple ranges set according to the width of level values of pixels. The image processing apparatus further includes a synthesizing unit that synthesizes multiple range-by-range results of the smoothing on the basis of the input images. The image processing apparatus further includes an output unit that outputs a synthesized image as an output image. 1. An image processing apparatus includes:a memory; and reducing multiple input images chronologically input as moving images and accumulating respective reduced images of the multiple input images in a predetermined memory;', 'generating one reduced image from the reduced images accumulated in the memory;', 'smoothing level values of a pixel included in the one reduced image and pixels surrounding the pixel with respect to each of multiple ranges set according to the width of level values of pixels;', 'synthesizing multiple range-by-range results of the smoothing on the basis of the input images; and', 'outputting an image synthesized at the synthesizing., 'a processor coupled to the memory, wherein the processor executes a process comprising2. The image processing apparatus according to claim 1 , whereinthe generating includes weighting the reduced images in such a manner that the closer a frame is to latest input image, the more heavily a reduced image of the frame is weighted, and includes generating the one reduced ...

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Номер записи: 26
20-06-2013 дата публикации

Image pickup apparatus, method of performing image compensation, and computer readable recording medium

Номер: US20130155265A1
Автор: Jum-Han Bae, June-Hee Lee, Ki-ho Kim, Kyu-yul CHOI
Принадлежит: SAMSUNG ELECTRONICS CO LTD

An image pickup apparatus includes an image pickup unit to continuously pick up a plurality of images having mutual displacement using an image pickup device, a storage unit to store a position of a defect area of the image pickup device, and an image compensation unit to compensate for the defect area in one of the plurality of picked images using the other picked image.

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Номер записи: 27
20-06-2013 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20130156338A1
Автор: Yamazaki Toshio
Принадлежит: SONY CORPORATION

An image processing apparatus including: an error determination processing unit inputting a distance image having distance information or parallax information up to the subject, detecting an error signal included in the distance image, and outputting a synthesis coefficient according to an error degree of an image region unit; a low pass filter processing unit applying a low pass filter with respect to the distance image and generating a noise reduction distance image; and a distance image synthesis unit generating a corrected distance image using a synthesis process of the distance image and the noise reduction distance image, in which, the distance image synthesis unit follows a synthesis coefficient of an image region unit output by the error determination processing unit, performs synthesis processing in which the synthesis ratio of the distance image and the noise reduction image is set in the image region units, and generates the corrected distance image. 1. An image processing apparatus comprising:an error determination processing unit inputting a distance image having distance information or parallax information up to the subject, detecting an error signal included in the distance image, and outputting a synthesis coefficient according to an error degree of an image region unit;a low pass filter processing unit applying a low pass filter with respect to the distance image and generating a noise reduction distance image; anda distance image synthesis unit generating a corrected distance image using a synthesis process of the distance image and the noise reduction distance image,wherein the distance image synthesis unit performs a synthesis process in which the synthesis ratio of the distance image and the noise reduction image is set in the image region units according to a synthesis coefficient of an image region unit output by the error determination processing unit, and generates the corrected distance image.2. The image processing apparatus according to ...

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Номер записи: 28
20-06-2013 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20130156339A1
Автор: Hayata Keisuke, KIMURA Tomoo, Tomita Hiroto
Принадлежит: Panasonic Corporation

The picture quality of captured images can be improved with the degradation of clearness of image-captured object boundaries suppressed. An image processing apparatus () comprises: an image/distance acquiring unit () that acquires corresponding pixel pairs between left-eye and right-eye images, its depth information and its matching scores; a weight information calculating unit () that determines, for each of the pixel pairs, a weight of each of the pixels in a certain area including, as pixels of interest, the pixel pair on the basis of the depth information and the matching scores; and a pixel value superimposing unit () that applies, for each of the pixel pairs, the weight to the pixel values in the aforementioned certain area, thereby performing a smoothing process in at least one of the two images and that superimposes the two images using the values obtained by the smoothing process. 1. An image processing apparatus forming a composite image from two photographed images , the image processing apparatus comprising:an image/depth acquiring section that acquires corresponding pixel pairs between the two images, and depth information and a matching score of every corresponding pixel pair;a weight information calculating section that determines weights for individual pixels in a predetermined region including a corresponding pixel pair as a pixel of interest on the basis of the depth information and the matching score of every corresponding pixel pair; anda pixel-value superimposing section that applies the weight to every corresponding pixel pair in the predetermined region for smoothing, replaces the pixel value of the pixel of interest in the predetermined region with the value determined through the smoothing, and superimposes the two images for every pixel, in at least one of the two images.2. The image processing apparatus according to claim 1 , wherein the weight information calculating section less weights the pixel of interest and peripheral pixels other ...

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Номер записи: 29
20-06-2013 дата публикации

No-Reference Spatial Aliasing Measure for Digital Image Resizing

Номер: US20130156342A1
Автор: Reibman Amy Ruth
Принадлежит: AT&T Intellectual Property I, L.P.

A method includes identifying an area in an image that is associated with strong directional energy. The method further includes determining a first estimate of signal energy for the area and a second estimate of aliasing energy for the area. The method further includes estimating a severity of an aliasing error of the image based on the first estimate and the second estimate. 1. A method comprising:identifying an area in an image, wherein the area is associated with strong directional energy;determining a first estimate of signal energy for the area and a second estimate of aliasing energy for the area; andestimating a severity of an aliasing error of the image based on the first estimate.2. The method of claim 1 , further comprising determining a quantitized direction based on the strong directional energy associated with the area.3. The method of claim 2 , further comprising determining on aliasing location based on the quantitized direction.4. The method of claim 3 , wherein the first estimate of the second estimate is determined based on the aliasing location.5. The method of claim 1 , wherein the area is identified based at least in part on the area having a particular contrast variance.6. The method of claim 1 , further comprising measuring jagginess in the image caused by aliasing.7. The method of claim 1 , wherein estimating the severity of the aliasing error includes determining a signal-to-aliasing ratio.8. The method of claim 1 , wherein the image is converted from a second image claim 1 , the second image being different in size than the image.9. A method comprising:identifying a plurality of areas in an image, the plurality of areas associated with strong directional energy, wherein the strong direction energy is determined based on a particular amount of contrast variance;selecting a particular area of the plurality of areas, based at least in part on a particular contrast variance; anddetermining a patch image based on selecting a particular set of ...

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Номер записи: 30
27-06-2013 дата публикации

IMAGE PROCESSING FOR REMOVING A NOISE COMPONENT CONTAINED IN AN IMAGE

Номер: US20130163895A1
Автор: ISHIGA Kenichi
Принадлежит: NIKON CORPORATION

An image processing method for removing a noise component contained in an original image, includes: separating an original image into a temporary noise-free image and a temporary noise component; extracting an edge component in the temporary noise-free image by executing edge detection on the temporary noise-free image; determining a fine edge component in the original image contained in the temporary noise component based upon a level of the extracted edge component; extracting an actual noise component by excluding the fine edge component from the temporary noise component; and removing noise from the original image based upon the extracted actual noise component. 1. An image processing method for removing a noise component contained in an original image , comprising:generating a plurality of band-limited images assuming sequentially lower resolution levels by filtering an original image;separating each band-limited image to a temporary noise-free image and a temporary noise component;extracting an edge component in the temporary noise-free image in correspondence to each band-limited image through edge detection executed on the temporary noise-free image;synthesizing temporary noise component signals in the band-limited images having been separated, so as to generate a synthesized temporary noise component assuming a resolution level matching a resolution level of the original image;synthesizing edge component signals in the band-limited images having been extracted, so as to generate a synthesized edge component assuming the resolution level matching the resolution level of the original image;determining, based upon the synthesized edge component, a quantity of an edge component in the original image contained in the synthesized temporary noise component;extracting an actual noise component by excluding the edge component in the original image from the synthesized temporary noise component; andremoving noise from the original image based upon the extracted ...

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Номер записи: 31
11-07-2013 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND TANGIBLE COMPUTER READABLE MEDIUM FOR PROCESSING IMAGE

Номер: US20130177255A1
Автор: SHIGEMURA Shusaku
Принадлежит: Denso Corporation

An image processing apparatus includes: an image obtaining device; an image dividing device that divides the image through a fine structure retrieving filter and a basic structure retrieving filter into a detail signal component and a basic signal component, the detail signal component including an edge component, a texture component, and a noise component, and the basic signal component being other than the detail signal component; an image correcting device that retrieves a focused picture cell, determines whether the focused picture cell represents the noise, corrects the detail signal component to reduce the noise component in the focused picture cell when the focused picture cell represents the noise; and an image synthesizing device that synthesizes a basic structure image provided by the basic signal component and a corrected fine structure image provided by the corrected detail signal component. 1. An image processing apparatus comprising:an image obtaining device that obtains an image by projecting an object in actual space to a plane including a plurality of picture cells;an image dividing device that filters the image through a fine structure retrieving filter and a basic structure retrieving filter so as to retrieve a detail signal component of the image and a basic signal component of the image, respectively, wherein the fine structure retrieving filter retrieves the detail signal component from a spatial-frequency component in the image, the detail signal component including an edge component indicative of an edge of the object, a texture component indicative of a texture of the object, and a noise component indicative of a noise overlapping the image, wherein the basic structure retrieving filter retrieves the basic signal component from the spatial-frequency component in the image, the basic signal component being the spatial-frequency component other than the detail signal component;an image correcting device that retrieves one of the picture cells ...

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Номер записи: 32
11-07-2013 дата публикации

Image Processing Apparatus, Recording Medium Storing Image Processing Program, And Method Of Image Processing

Номер: US20130177256A1
Автор: Kita Koji, MIYAMOTO Takahiro, Murata Yukiko, Nakagawa Yumiko, Nakano Tomoo
Принадлежит:

An image processing apparatus including a first image processing unit and a second image processing unit. The first image processing unit is configured to calculate a parameter for image processing based on a first image, but not based on a second image, and execute the image processing on the first image using the parameter. The second image processing unit is configured to execute the image processing on the second image using the parameter. 1. An image processing apparatus comprising:a first image processing unit configured to calculate a parameter for image processing based on a first image, but not based on a second image, and execute the image processing on the first image using the parameter; anda second image processing unit configured to execute the image processing on the second image using the parameter.2. The image processing apparatus according to claim 1 ,wherein the first image and the second image are images on the same timeline.3. The image processing apparatus according to claim 1 ,wherein the first image and the second image are images on different timelines.4. The image processing apparatus according to claim 1 ,wherein the parameter includes an extent of blurring, andthe image processing includes processing for enhancing an edge.5. The image processing apparatus according to claim 2 ,wherein the parameter includes an extent of blurring, andthe image processing includes processing for enhancing an edge.6. The image processing apparatus according to claim 3 ,wherein the parameter includes an extent of blurring, andthe image processing includes processing for enhancing an edge.7. The image processing apparatus according to claim 1 ,wherein the parameter includes at least one of noise information, distortion aberration information, and peripheral illumination information, andthe image processing includes at least one of processing for removing noise, processing for adding noise, processing for correcting for distortion aberration, and processing for ...

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Номер записи: 33
18-07-2013 дата публикации

METHOD AND DEVICE FOR INTERPOLATING IMAGES BY USING A SMOOTHING INTERPOLATION FILTER

Номер: US20130182780A1
Автор: Alshin Alexander, Alshin Elena, Chen Jianle, HAN Woo-jin, Hong Yoon-mi, Shlyakhov Nikolay
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

Provided are a method of interpolating an image by determining interpolation filter coefficients, and an apparatus for performing the same. The method includes: differently selecting an interpolation filter, from among interpolation filters for generating at least one sub-pel-unit pixel value located between integer-pel-unit pixels, based on a sub-pel-unit interpolation location and a smoothness; and generating the at least one sub-pel-unit pixel value by interpolating, using the selected interpolation filter, pixel values of the integer-pel-unit pixels. 1. A method of interpolating an image in consideration of smoothing , the method comprising:differently selecting an interpolation filter, from among interpolation filters for generating at least one sub-pel-unit pixel value located between integer-pel-unit pixels, based on a sub-pel-unit interpolation location and a smoothness; andgenerating, using the selected interpolation filter, the at least one sub-pel-unit pixel value by interpolating pixel values of the integer-pel-unit pixels.2. The method of claim 1 , wherein the interpolation filter includes filter coefficients for transforming the integer-pel-unit pixels based on a plurality of basis functions and inversely transforming a plurality of coefficients generated as a result of the transforming.3. The method of claim 1 , wherein the interpolation filter includes filter coefficients having the smoothness determined based on a distance between the interpolation location and the integer-pel-unit pixels.4. The method of claim 1 , wherein the interpolation filters include filter coefficients having the smoothness determined based on a distance between the interpolation location and integer-pel-unit pixels adjacent to the interpolation location.5. The method of claim 2 , wherein:in order to interpolate the integer-pel-unit pixels in a spatial domain, the interpolation filter includes filter coefficients obtained by combining a window function and a filter for ...

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Номер записи: 34
18-07-2013 дата публикации

Spatiotemporal Metrics for Rate Distortion Optimization

Номер: US20130182971A1
Автор: Leontaris Athanasios, Tourapis Alexandros
Принадлежит: DOLBY LABORATORIES LICENSING CORPORATION

Spatial and temporal metrics are computed for a picture or regions within a picture to determine the impact of coding and quantization on the quality of an encoded picture. Prediction mode decisions and quantization optimization algorithms are used to create a compressed bit stream that minimizes coding artifacts. Pre-processing techniques are also used to suppress coding artifacts that reduce picture quality. 1. A method for reducing artifacts in coded pictures comprising:computing one or more sets of metrics for a picture, wherein each set of metrics are computed based on applying one or more different coding methods;selecting one or more coding methods from the applied one or more different coding methods, wherein selection of the one or more coding methods is based on the computed one or more sets of metrics; andcoding the picture with the selected one or more coding methods.2. The method according to claim 1 , wherein the picture comprises a plurality of picture blocks and computing one or more sets of metrics for the picture comprises computing metrics for one or more of the picture blocks.3. The method according to claim 2 , wherein computing one or more sets of metrics for the picture comprises comparing pixels located at or near a perimeter of a block to pixels located at inner portions of a block.4. The method according to claim 2 , wherein computing one or more sets of metrics for the picture comprises comparing pixels located at or near a boundary of a picture block to pixels located at or near boundaries of one or more adjacent picture blocks.5. The method according to claim 2 , wherein each picture block has a block boundary and computing one or more sets of metrics for the picture comprises computing prediction errors for pixels of a picture block and applying a transform to the computed prediction errors claim 2 , wherein the transform overlaps one or more block boundaries.6. The method according to claim 5 , wherein the prediction errors are ...

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Номер записи: 35
25-07-2013 дата публикации

Automatic Face and Skin Beautification Using Face Detection

Номер: US20130188073A1
Автор: Capata Adrian, Ciuc Mihai, Corcoran Peter, Florea Corneliu, Mocanu Valentin, Pososin Alexie
Принадлежит: DigitalOptics Corporation Europe Limited

Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. 1. (canceled)2. A method of enhancing an appearance of a face within a digital image , comprising using a processor in:acquiring a digital image of a scene including a face, including capturing the image using a lens and an image sensor, or receiving said image following capture by a device that includes a lens and an image sensor, or a combination thereof;identifying the face within the digital image;identifying within the face one or more sub-regions to be enhanced with localized luminance smoothing;applying one or more localized luminance smoothing kernels each to one of the one or more sub-regions identified within the face to produce one or more enhanced sub-regions of the face, wherein the applying comprises applying the one or more localized luminance smoothing kernels to luminance data of the one or more sub-regions identified within said face;generating an enhanced image including an enhanced version of the face comprising certain original or otherwise processed pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face;determining certain non-skin tone pixels within the one or more sub-regions that do not comprise a threshold skin tone, and removing, replacing, reducing an intensity of, or modifying a color of said certain non-skin tone pixels, or combinations thereof, anddisplaying, transmitting, communicating or digitally storing or otherwise outputting the enhanced image or a further processed version, or combinations thereof.3. The method of claim 2 , wherein the localized luminance smoothing comprises blurring or averaging luminance ...

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Номер записи: 36
25-07-2013 дата публикации

IMAGE PICKUP DEVICE, FLASH IMAGE GENERATING METHOD AND COMPUTER-READABLE MEMORY MEDIUM

Номер: US20130188873A1
Автор: SASAKI Masaaki
Принадлежит: CASIO COMPUTER CO. LTD.

When a displacement between a reference frame of a plurality of images acquired by continuous image pickup and a target frame is less than a first threshold indicating that such a frame is not likely to be affected by occlusion, smoothing is performed on an object area through a morphological operation with a normal process amount. Conversely, when a displacement between the reference frame of the plurality of images acquired by continuous image pickup and a target frame is larger than or equal to the first threshold, smoothing is performed with the process amount of morphological operation being increased with respect to the normal process amount. 1. An image processing device comprising:an extracting unit which extracts an image representing a moving object part from picked-up images;a detecting unit which detects a displacement of a background part among the picked-up images; anda smoothing unit which performs a smoothing process on the image representing the moving object part at a smoothing strength in accordance with the displacement of the background part.2. The image processing device according to claim 1 , wherein the larger the displacement detected by the detecting unit is claim 1 , the more the smoothing unit increases the smoothing strength of the smoothing process.3. The image processing device according to claim 1 , wherein the smoothing unit changes a number of execution times of the smoothing process based on a comparison of the displacement detected by the detecting unit with a threshold.4. The image processing device according to claim 1 , wherein the smoothing unit changes a number of execution times of the smoothing process based on a value acquired by multiplying the displacement detected by the detecting unit by a coefficient.5. The image processing device according to claim 1 , wherein the smoothing unit performs the smoothing process through a morphological operation claim 1 , and the smoothing unit changes the smoothing strength of the ...

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Номер записи: 37
01-08-2013 дата публикации

NOISE REDUCTION PROCESSING METHOD AND APPARATUS FOR A BIOLOGICAL TISSUE IMAGE

Номер: US20130195327A1
Автор: Tanji Koichi
Принадлежит: CANON KABUSHIKI KAISHA

Noise reduction processing for measured spectrum data is performed without any information loss due to discrete data characteristics of the measured spectrum data. Optical spectra in one or more cross-sections are measured through use of a signal correlated with a substance distributed in a biological tissue, and a biological tissue image having reduced noise is reconstructed from the spectra. 1. A method of acquiring a biological tissue image , the method comprising reconstructing a biological tissue image having reduced noise through use of a plurality of measured spectrum data obtained by measuring respective regions of a biological tissue ,wherein the reduction of the noise is performed through use of reference data for the measured spectrum data.2. The method according to claim 1 , wherein the reference data is generated through utilization of training data.3. The method according to claim 2 , wherein the reduction of the noise is performed by generating a classifier through utilization of the training data claim 2 , dividing an entire spectrum into typical specific spectra through use of the classifier claim 2 , and reconstructing an image from the typical specific spectra derived from the biological tissue.4. The method according to claim 2 , wherein the measured spectrum data is one of data of optical spectrum in a range of ultraviolet claim 2 , visible or infrared light claim 2 , raman spectrum and mass spectrum.5. An apparatus for reconstructing a biological tissue image utilizing the method of . 1. Field of the InventionThe present invention relates to a noise reduction processing method for a biological tissue image and an apparatus therefor. Specifically, the present invention relates to a method and apparatus for reconstructing a biological tissue image having reduced noise components from measured spectrum data of a biological tissue. The present invention also relates to an image display for clearly displaying a diseased site in pathological ...

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Номер записи: 38
01-08-2013 дата публикации

Image Processing Apparatus, Recording Medium Storing Image Processing Program, And Method Of Image Processing

Номер: US20130195355A1
Автор: Kita Koji
Принадлежит:

An image processing apparatus including a dispersion calculation portion, an ε deriving portion, and a filtering portion, and eliminates mosquito noise from a digitally compressed image having a plurality of color components. The dispersion calculation portion is configured to calculate, for each of the color components of each pixel contained in the digitally compressed image, a dispersion of pixel values of a plurality of pixels contained in a first region in which that pixel serves as a representative pixel. The ε deriving portion is configured to derive, for each pixel contained in the digitally compressed image, a greatest value of the plurality of dispersions that respectively correspond to the plurality of color components of that pixel, or a corrected value of the greatest value, as an ε value of an ε filter for that pixel. The filtering portion is configured to apply the ε filter to the digitally compressed image. 1. An image processing apparatus configured to eliminate mosquito noise from a digitally compressed image having a plurality of color components , the apparatus comprising:a dispersion calculation portion configured to calculate, for each of the color components of each pixel contained in the digitally compressed image, a dispersion of pixel values of a plurality of pixels contained in a first region in which that pixel serves as a representative pixel;an ε deriving portion configured to derive, for each pixel contained in the digitally compressed image, a greatest value of the plurality of dispersions that respectively correspond to the plurality of color components of that pixel, or a corrected value of the greatest value, as an ε value of an ε filter for that pixel; anda filtering portion configured to apply the ε filter to the digitally compressed image.2. The image processing apparatus according to claim 1 ,wherein the filtering portion is configured to apply the ε filter to the digitally compressed image on a color component-by-color ...

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Номер записи: 39
15-08-2013 дата публикации

Composable Situational Awareness Visualization System

Номер: US20130208001A1
Автор: Acantilado Neil, Gill-Hesselgrave Deborah, Kammerer John, Lulue Daniel L.
Принадлежит: United States of America, as Represented by the Secretary of the Navy

A system and methods for maintaining situation awareness about an event are disclosed. The methods includes displaying said the location of the event on a digital reference map that is representative of a geographic area. As amplifying information pertaining to the event is received, the information is displayed at the same pixel location of the digital reference map as the event location to fuse geo-visualization and situation awareness of an event at the same display. Amplifying information can include remote updates from emergency personnel responding to said. A plurality of digital reference maps, corresponding to geographic areas for respective users, can be networked. The result is a network wherein a plurality of corresponding user have real-time situational awareness of critical events within the aggregate geographical area represented by the digital reference maps. 1A) networking a plurality of Command and Control (C&C) units, each said C&C unit having a geographic area of responsibility (AOR), each said C&C unit further having a at least one receiving device, a database of digital maps that is representative of said geographic area, an image registration unit connected to said database and said at least one receiving device, and a processor, said critical event occurring at a location within said AOR;B) extracting a digital reference map having corresponding to the location of said event from said database and one of said plurality of C&C units;C) accepting said digital reference map at said image registration unit;D) registering the pixel location of said critical event on said digital reference map at said image registration unit;E) receiving said information from said receiving device, at said image registration unit;F) displaying said information at said digital reference map at said pixel location, said step F) being accomplished at said image registration unit and resulting in an updated digital reference map; and,G) transmitting said updated digital ...

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Номер записи: 40
15-08-2013 дата публикации

IMAGE ENHANCEMENT DEVICE FOR REDUCTION OF NOISE IN DIGITAL IMAGES

Номер: US20130208129A1
Автор: Stenman David
Принадлежит: WESDYNE TRC AB

The invention relates to an image enhancement device comprising an image recording device, configured to register a series of subsequent images of a particular object, whereby each image includes a matrix of pixels, each pixel representing a particular image content, a processing unit configured to execute de-noising operations to reduce noise in said series of subsequent images, and a screen. The noise is reduced by identifying at least one pixel of noise in an image, removing the image content of said pixel from the image and substituting said removed image content with replacement image content derived by overlapping the images of the series of subsequent images. Further, the processing unit is configured to overlap images by integrating replacement image content from a second image into a first image from which the image content has been removed. 1. An image enhancement device , comprising:a digital image recording device configured to register a series of subsequent images of a particular object, whereby each image comprises a matrix of pixels, each pixel representing a particular image content;a processing unit configured to execute one or more de-noising operations to reduce induced noise in said series of subsequent images; anda screen for visualising one or more registered images, wherein,the noise is reduced by identifying at least one pixel of noise in an image, removing the image content of said at least one pixel from the image and substituting said removed image content with replacement image content derived by overlapping the images of the series of subsequent images,whereby noise is defined as a physical obstruction or transient distortion between the object and the image recording device, andwhereby the processing unit is configured to execute one or more other de-noising operations before or after one or more images are visualised on the screen, and whereby one de-noising operation is selected from an averaging method.2. The image enhancement ...

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Номер записи: 41
15-08-2013 дата публикации

METHOD FOR REDUCING NOISE IN TOMOGRAPHIC IMAGE AND RECORDING MEDIUM HAVING NOISE REDUCING PROGRAM STORED THEREIN

Номер: US20130208968A1
Автор: FURUUCHI Yasuhiro, HANEBUCHI Masaaki, NAMIKI Hajime, SATAKE Norimasa
Принадлежит: NIDEK CO., LTD.

A method for reducing noise in a tomographic image, includes: acquiring phase information of a noise component signal, the signal being provided as a signal corresponding to a noise component of the tomographic image and included in a spectrum interference signal output from a detector of a swept source optical coherence tomography device; acquiring a tomographic image in response to a spectrum interference signal with a corrected phase deviation based on the acquired phase information; and reducing the noise component of this tomographic image. 1. A method for reducing noise in a tomographic image , comprising:acquiring phase information of a noise component signal, the signal being provided as a signal corresponding to a noise component of the tomographic image and included in a spectrum interference signal output from a detector of a swept source optical coherence tomography device;acquiring a tomographic image in response to a spectrum interference signal with a corrected phase deviation based on the acquired phase information; andreducing the noise component of this tomographic image.2. The method for reducing noise in a tomographic image according to claim 1 , wherein the acquiring phase information of a noise component signal includesacquiring a first tomographic image based on the spectrum interference signal output from the detector of the coherence tomography device, andacquiring phase information of a part of the spectrum interference signal, the part corresponding to a depth position of a noise component in the first tomographic image.3. The method for reducing noise in a tomographic image according to claim 1 , wherein the acquiring phase information of a noise component signal includes acquiring phase information of a noise component signal of each spectrum interference signal acquired at a predetermined frame rate.4. The method for reducing noise in a tomographic image according to claim 1 , wherein claim 1 , when a plurality of noise components is ...

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Номер записи: 42
15-08-2013 дата публикации

Image Defect Map Creation Using Batches of Digital Images

Номер: US20130208995A1
Автор: Bigioi Petronel, Corcoran Peter, Prilutsky Yury, Steinberg Eran, Zamfir Adrian, Zamfir Marta
Принадлежит: DigitalOptics Corporation Europe Limited

A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present. 1. (canceled)2. A method of correcting defects in digital images , comprising:using a processor;acquiring a set of images with a device including a lens and image sensor;computing a gray-scale version of a current image of the set of images including designating one or more object regions and designating non-object regions to approximately cover all of the image;computing a difference image based on differences between the gray-scale version and a version of the current image;computing a current binary map that results after thresholding the difference image, including replacing one or more non-object region designations with one or more object region designations when a non-object region is determined to have a probability of being a non-object region that is above a threshold;growing a gray map by adding to the current binary map with subsequent binary maps of subsequent images of the set;generating a final binary map; andcorrecting a defect within a digital image based on the final binary map or determining to apply selected image processing based on the final binary map, or combinations thereof.3. The method of claim 2 , comprising facilitating implementation of a binarization with an adaptive threshold.4. The method of claim 2 , further comprising thresholding to obtain a binary map.5. The method of claim 4 , wherein the threshold comprises an adaptive threshold that depends on number of processed images.6. The method of claim 5 , ...

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Номер записи: 43
22-08-2013 дата публикации

METHOD FOR PROCESSING EDGES IN AN IMAGE AND IMAGE PROCESSING APPARATUS

Номер: US20130216153A1
Автор: HSU Wei
Принадлежит: NOVATEK MICROELECTRONICS CORP.

Method and apparatus for processing edges in an image are provided. The method in an embodiment includes the following steps. With respect to a cross-shaped patterned centered at a target pixel of an input image, a first-direction gradient along a first direction and a second-direction gradient along a second direction are calculated. According to the first-direction and second-direction gradients, it is determined whether to compensate the target pixel based on pixel values of a first plurality of pixels along the second direction or pixel values of a second plurality of pixels along the first direction within the cross-shaped pattern, or to output a pixel value of the target pixel. 1. A method for processing edges in an image , comprising:a) calculating a first-direction gradient along a first direction and a second-direction gradient along a second direction with respect to a cross-shaped pattern centered at a target pixel within a region of an input image;b) determining whether the first-direction gradient is greater than a first comparison gradient, wherein the first comparison gradient is determined according to the second-direction gradient;c) obtaining a first estimated pixel value based on pixel values of a first plurality of pixels along the second direction within the cross-shaped pattern as an estimated pixel value of the target pixel when a determination result of step (b) is affirmative;d) determining whether the second-direction gradient is greater than a second comparison gradient when the determination result of step (b) is negative, wherein the second comparison gradient is determined according to the first-direction gradient;e) obtaining a second estimated pixel value based on pixel values of a second plurality of pixels along the first direction within the cross-shaped pattern as the estimated pixel value of the target pixel when a determination result of step (d) is affirmative; andf) outputting a pixel value of the target pixel when the ...

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Номер записи: 44
29-08-2013 дата публикации

DATA BUFFERING APPARATUS CAPABLE OF ALTERNATELY TRANSMITTING STORED PARTIAL DATA OF INPUT IMAGES MERGED IN ONE MERGED IMAGE TO IMAGE/VIDEO PROCESSING DEVICE AND RELATED DATA BUFFERING METHOD

Номер: US20130222422A1
Автор: Fang Hung-Chi
Принадлежит: MEDIATEK INC.

A data buffering apparatus includes a plurality of storage devices and a storage controller. Each of the storage devices is arranged for only storing a partial data of one of a plurality of input images merged in a merged image when data of the merged image is received at a data input port of the data buffering apparatus. The storage controller is coupled to the storage devices, and arranged for alternately controlling stored partial data of the input images to be transmitted to an image/video processing device when the data of the merged image is received at the data input port. 1. A data buffering apparatus , comprising:a plurality of storage devices, each arranged for only storing a partial data of one of a plurality of input images merged in a merged image when data of the merged image is received at a data input port of the data buffering apparatus; anda storage controller, coupled to the storage devices, the storage controller arranged for alternately controlling stored partial data of the input images to be transmitted to an image/video processing device when the data of the merged image is received at the data input port.2. The data buffering apparatus of claim 1 , wherein the input images in the merged image are arranged in a column-interleaved format.3. The data buffering apparatus of claim 1 , wherein the input images in the merged image are arranged in a line-interleaved format.4. The data buffering apparatus of claim 1 , wherein the storage devices include a first storage device and a second storage device; the first storage device has a plurality of first storage elements; the second storage device has a plurality of second storage elements; and when the data of the merged image is sequentially fed into the data input port claim 1 , the storage controller is arranged for making the first storage elements and the second storage elements cascaded in an interleaved manner such that each first storage element is followed by one second storage element claim ...

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Номер записи: 45
29-08-2013 дата публикации

METHODS AND SYSTEMS FOR MODIFIED WAVELENGTH DIVERSITY IMAGE COMPENSATION

Номер: US20130222615A1
Автор: Arrasmith William W.
Принадлежит: Greywolf Technical Services, Inc.

Imaging methods and systems providing wavelength diversity compensation to images distorted by turbulence includes capturing a subject image set in a single image frame, with the images in the set being captured at diverse wavelengths. The compensation includes using an error metric insensitive to variation in object brightness between a region of interest of an image and a corresponding region of interest in a second image in the set that is at a diverse wavelength. 1. An image compensation system for providing improved wavelength diversity compensation to an image of a subject to compensate for turbulence existing in the line of sight between the subject and an optical imaging device used to capture the image , the image compensation system comprising:a communications port adapted to receive a subject image set from said optical imaging device, the subject image set including (i) a first image of the subject at a first wavelength, the first image having a first object brightness and at least (ii) a simultaneously captured second image of the subject at a second wavelength diverse from the first wavelength, the second image having a second object brightness, the first image and the second image forming the subject image set;a memory device adapted to store said subject image set;a processing device adapted to process said subject image set to generate an enhanced resolution version of a region of interest in the first image by applying a wavelength diversity compensation algorithm thereto, wherein a corresponding region of interest in the second image is used as the diverse wavelength image in said wavelength diversity compensation algorithm, and wherein said algorithm is adapted to use an error metric that remains valid for images differing in optical brightness; andan output device adapted to output said enhanced resolution version of said region of interest in the first image.2. The image compensation system of claim 1 , wherein said error metric comprises error ...

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Номер записи: 46
29-08-2013 дата публикации

METHOD AND APPARATUS FOR IMAGE PROCESSING

Номер: US20130222689A1
Автор: LIGETI Gabor
Принадлежит: COMAGNA KFT

The present invention discloses a system and method of transforming a sample of content data by utilizing known samples in a learning phase to best determine coefficients for a linear combination of non-linear filter functions and applying the coefficients to the content data in an operational phase. 1. A method of transforming content data using a learning phase and a operational phase comprising:a training phase comprising:providing at least one sample of high-quality content and a the at least one sample of high-quality content to produce a degraded quality content, resulting in a representative target sample;', 'applying the transform to the representative target sample; and', 'determining values for the coefficients that will best transform the representative target sample to resemble the at least one sample of high-quality content, resulting in optimized coefficients; and', providing at least one new sample; and', 'applying the transform and the optimized coefficients to the at least one new sample, resulting in enhanced content data., 'an operational phase comprising], 'transform, wherein the transform is defined by a linear combination of pre-selected non-linear functions weighted with coefficients;'}2. The method of transforming content data according to claim 1 , wherein the content data is image data captured with a camera using a Bayer filter.3. The method of transforming content data according to claim 2 , wherein the transform at least partially comprises a filter for demosaicing.4. The method of transforming content data according to claim 1 , wherein the content data is image data claim 1 , and wherein the transform at least partially comprises a filter for performing a function selected from among: resolution enhancement claim 1 , filtering claim 1 , noise reduction claim 1 , color filter demosaicing claim 1 , zooming claim 1 , edge enhancement and sharpening.5. The method of transforming content data according to claim 1 , wherein the content data ...

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Номер записи: 47
29-08-2013 дата публикации

Automated Underwater Image Restoration Via Denoised Deconvolution

Номер: US20130223757A1
Автор: Alan Weidemann, Weilin Hou
Принадлежит: US Naval Research Laboratory NRL

A method for calculating an image quality metric for evaluating the quality of a digital image including the steps of denoising the data of the image, identifying edges in the denoised data, determining an edge profile of the edges, determining a grayscale angle for each identified edge in the edge profile that is associated with the edge, and calculating the image quality metric based on a weighted average of the grayscale angles for all the edges.

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Номер записи: 48
05-09-2013 дата публикации

VIEWING MEDIA IN THE CONTEXT OF STREET-LEVEL IMAGES

Номер: US20130229434A1
Автор: Aguera y Arcas Blaise Hilary, Kroepfl Michael, Ofek Eyal, Ramos Gonzalo A., Walker Julian R.
Принадлежит: MICROSOFT CORPORATION

A system for displaying hybrid image data produced by embedding additional media objects within street-level panoramic images includes a user interface through which a user may view, search for, and/or navigate through additional media objects in the context of browsing a virtual environment of a location at street level. In response to user input indicating a request to view a geographic location and/or an additional media object, street-level panoramic image data associated with the geographic location, in which one or more additional media objects also associated with the geographic location have been embedded, may be provided for display through the user interface. The user interface may be provided by a client device including one or more processors that receive hybrid image data produced by one or more processors of a server and display the image data to the user. 1. A computer-implemented method for providing image data for display , the method comprising:determining a media object for display based on a geographic location and a view direction, the media object having a first depiction of at least a portion of a subject proximate the geographic location along the view direction;selecting a panoramic image based on the geographic location, the panoramic image having a second depiction of at least a portion of the subject; andcombining the determined media object and the selected panoramic image into a composite panoramic image having the first depiction of the subject in the media object generally aligned with the second depiction of the subject in the selected panoramic image in accordance with the view direction.2. The computer-implemented method of claim 1 , wherein the media object includes at least one of a photograph or a video image frame.3. The computer-implemented method of claim 1 , wherein the media object is determined based at least on metadata associated with the media object.4. The computer-implemented method of claim 1 , wherein combining the ...

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Номер записи: 49
12-09-2013 дата публикации

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20130236095A1
Автор: Hitomi Yasunobu, Mitsunaga Tomoo
Принадлежит: SONY CORPORATION

There is provided an image processing device including: an image analysis unit and a pixel value correction unit, wherein the image analysis unit sets a plurality of bins having different bin widths which are set by a luminance range varying in size depending on a luminance value, and generates frequency distribution data obtained by setting the number of pixels contained in a luminance range corresponding to each bin as frequency data, and wherein the pixel value correction unit selects a bin corresponding to a pixel to be corrected which is a bin including the pixel value of the pixel to be subjected to noise reduction and a predetermined number of neighboring bins, and calculates a corrected pixel value of the pixel to be subjected to noise reduction by an arithmetic operation process to which a pixel value of a reference pixel contained in the selected bin is applied. 1. An image processing device comprising:an image analysis unit for generating image analysis information having frequency distribution data which corresponds to a pixel value of a pixel contained in a reference region used to select a reference pixel applied to correction of a pixel value of a pixel to be subjected to noise reduction; anda pixel value correction unit for correcting a pixel value by applying the image analysis information,wherein the image analysis unit sets a plurality of bins having different bin widths which are set by a luminance range varying in size depending on a luminance value, and generates frequency distribution data obtained by setting the number of pixels contained in a luminance range corresponding to each bin as frequency data, andwherein the pixel value correction unit selects a bin corresponding to a pixel to be corrected which is a bin including the pixel value of the pixel to be subjected to noise reduction and a predetermined number of neighboring bins of the bin corresponding to the pixel to be corrected, and calculates a corrected pixel value of the pixel to ...

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Номер записи: 50
12-09-2013 дата публикации

APPARATUS AND METHOD FOR PROVIDING BLURRED IMAGE

Номер: US20130236117A1
Автор: Ahn Hee-Bum, CHANG Won-Suk, KIM Do-Hyeon, LEE Dong-Chang, LEE Dong-Hyuk
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

A method of providing a blurred image includes receiving a target image to which a blur effect is to be applied; receiving blur effect information for generating the blur effect in the target image; calculating a sum image for respective pixels of the target image; applying a mean filter to the target image by using the sum image based on the blur effect information; and providing a blurred image formed by applying the mean filter. 1. A method of providing a blurred image , comprising:receiving a target image to which a blur effect is to be applied;receiving blur effect information for generating the blur effect in the target image;calculating a sum image for respective pixels of the target image;applying a mean filter to the target image by using the sum image based on the blur effect information; andproviding a blurred image formed by applying the mean filter.2. The method of claim 1 , wherein the blur effect information contains a designated blur effect start point.3. The method of claim 2 , wherein the blur effect information further contains a blur effect area and a blur effect degree.4. The method of claim 1 , wherein applying the mean filter comprises:determining a pixel to which the blur effect is to be applied;determining a size of the mean filter to be applied to the pixel to which the blur effect is to be applied;determining a sum within the mean filter having the determined size based on the sum image; andapplying the mean filter based on the sum within the mean filter.6. The method of claim 1 , wherein applying the mean filter comprises applying a relatively large sized mean filter when a blur effect degree contained in the blur effect information is relatively large and applying a relatively small sized mean filter when the blur effect degree contained in the blur effect information is relatively small.7. The method of claim 1 , wherein calculating the sum image comprises determining a value of each pixel of the sum image based on S(i claim 1 ,j)=S(i−1 ...

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Номер записи: 51
19-09-2013 дата публикации

IMAGE PROCESSING APPARATUS AND METHOD

Номер: US20130243279A1
Автор: Ma Hongfeng, Zhang Pin
Принадлежит:

An image processing apparatus and method are disclosed. The apparatus may include: a wavelet transform device for performing wavelet transform on an input image to decompose the input image into a plurality of levels of different scales, each level including a low frequency component and a plurality of high frequency components; a compensation template generating device for generating a compensation template for each level according to the plurality of high frequency components in the level, the compensation template reflecting combination feature of the plurality of high frequency components; a de-noising device for de-noising the low frequency component of each level and performing edge compensation on the low frequency component with the compensation template to acquire a compensated low frequency component; and a wavelet inverse transform device for performing inverse wavelet transform with the compensated low frequency component and the high frequency components of each level to acquire a de-noised image. 1. An image processing apparatus , comprising:a wavelet transform device for performing wavelet transform on an input image to decompose the input image into a plurality of levels of different scales, each level including a low frequency component and a plurality of high frequency components;a compensation template generating device for generating a compensation template for each level according to the plurality of high frequency components in the level obtained from the wavelet transform, the compensation template reflecting combination features of the plurality of high frequency components of the level;a de-noising device for de-noising the low frequency component of each level, and performing edge compensation on the low frequency component of the level by using the compensation template of the level to acquire a compensated low frequency component; anda wavelet inverse transform device for performing inverse wavelet transform with the compensated low ...

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Номер записи: 52
19-09-2013 дата публикации

ULTRASOUND IMAGING METHOD/TECHNIQUE FOR SPECKLE REDUCTION/SUPPRESSION IN AN IMPROVED ULTRA SOUND IMAGING SYSTEM

Номер: US20130243296A1
Автор: Mukhopadhyay Sudipta, Nandi Debashis
Принадлежит: INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

The present invention relates to an improved ultrasound imaging method/technique for speckle reduction/suppression in an ultra sound imaging system in which scan conversion and speckle reduction is performed simultaneously in the scan conversion stage avoiding any kind of conventional interpolation. An improved method for speckle reduction in an ultrasound imaging system and an improved ultra sound imaging system for speckle reduction is provided in the present invention. The method comprises steps of receiving in a processor means raw data samples as an input comprising image signals with noises from a logarithmic amplifier, processing the received image signals for scan conversion and speckle reduction in the processor means so as to get pixel value from the raw data samples and to perform speckle reduction so as to provide speckle filtered output image. 1. An improved method for speckle reduction in an ultrasound imaging system , said method comprising steps of:receiving in a processor means raw data samples as an input comprising image signals with noises from a logarithmic amplifier; andprocessing said received image signals for scan conversion and speckle reduction in said processor means so as to get pixel value from said raw data samples and to perform speckle reduction to provide speckle filtered output image;wherein said speckle reduction and scan conversion are performed/processed simultaneously;wherein said pixel values at a raster grid points in a rectangular co-ordinate system are determined using filtering technique/speckle reduction technique by means of speckle reduction filter.2. Method as claimed in claim 1 , wherein said step of processing/computation of the pixel value from the raw data comprises steps of:determining plurality of radial lines in said rectangular co-ordinate system anddetermining plurality of rectangular grids comprising vertical and horizontal grid lines in said rectangular co-ordinate system;such that step of processing the ...

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Номер записи: 53
19-09-2013 дата публикации

METHOD AND SYSTEM FOR IMAGES FOREGROUND SEGMENTATION IN REAL-TIME

Номер: US20130243313A1
Автор: Civit Jaume, Divorra Oscar
Принадлежит: TELEFONICA, S.A.

The method comprises: 2. Method as per claim 1 , comprising defining said segmentation models according to a Bayesian formulation.3. Method as per claim 2 , comprising claim 2 , in addition to a local modelling of foreground claim 2 , background and shadow classes carried out by said cost functions where image structure is exploited locally claim 2 , exploiting the spatial structure of content of at least said image in a more global manner.4. Method as per claim 3 , wherein said exploiting of the local spatial structure of content of at least said image is carried out by estimating costs as an average over homogeneous colour regions.5. Method as per claim 1 , comprising applying a logarithm operation to the probability expressions claim 1 , or cost functions claim 1 , generated in order to derive additive costs.12. Method as per claim 11 , wherein said optimization algorithm is a hierarchical Belief Propagation algorithm.13. Method as per claim 11 , comprising claim 11 , after said step iv) has been carried out claim 11 , performing the final decision pixel or region-wise on final averaged costs computed over uniform colour regions to further refine foreground boundaries.14. Method as per claim 11 , wherein said k-means approach is a k-means clustering based segmentation modified to fit a graphics processing unit claim 11 , or GPU claim 11 , architecture.16. Method as per claim 15 , wherein modifying said k-means clustering based segmentation further comprises claim 15 , in the Assignment step of said k-means clustering based segmentation claim 15 , constraining the clusters to which each pixel can change cluster assignment to a strictly neighbouring k-means cluster claim 15 , such that spatial continuity is ensured.18. Method as per claim 1 , wherein it is applied to a plurality of images corresponding to different and consecutive frames of a video sequence.19. Method as per claim 17 , the method applied to a plurality of images corresponding to different and ...

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Номер записи: 54
26-09-2013 дата публикации

ALTERNATE REDUCTION RATIOS AND THRESHOLD MECHANISMS FOR FRAMEBUFFER COMPRESSION

Номер: US20130249897A1
Автор: BASTOS Rui, Detmer Joseph, DUNAISKY Jonathan, KULSHRESTHA Narayan, McAllister David Kirk, McKnight William Craig, MOLNAR Steven E.
Принадлежит: NVIDIA CORPORATION

A method for compressing framebuffer data is presented. The method includes determining a reduction ratio for framebuffer data in a tile including multiple samples. The reduction ratio determined is independent of the sampling mode, where the sampling mode is the number of samples within each pixel in the tile. The method further includes comparing a first portion of the framebuffer data for each of the multiple samples to determine an equality comparison result and also comparing a second portion of the framebuffer data for each one of the multiple samples to compute per-channel differences for each one of the multiple samples and testing the per-channel differences against a threshold value to determine a threshold comparison result. Finally, the method comprises compressing the framebuffer data for the tile based on the reduction ratio, the equality comparison result and the threshold comparison result to produce output framebuffer data for the tile. 1. A method for compressing framebuffer data , the method comprising:determining a reduction ratio for framebuffer data in a tile including multiple samples;receiving the framebuffer data for the tile;comparing a first portion of the framebuffer data for each of the multiple samples to determine an equality comparison result;comparing a second portion of the framebuffer data for each one of the multiple samples to compute per-channel differences for said each one of the multiple samples and testing the per-channel differences against a threshold value to determine a threshold comparison result; andcompressing the framebuffer data for the tile based on the reduction ratio, the equality comparison result and the threshold comparison result to produce output framebuffer data for the tile.2. The method of claim 1 , wherein the reduction ratio is independent of a sampling mode claim 1 , wherein the sampling mode is the number of samples within each pixel in the tile.3. The method of claim 2 , wherein the reduction ratio ...

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Номер записи: 55
26-09-2013 дата публикации

HEAD-MOUNTED DISPLAY DEVICE

Номер: US20130249946A1
Автор: KIMURA Fusashi
Принадлежит: SEIKO EPSON CORPORATION

Ahead-mounted display device includes: an image display unit including an image light generating unit that generates image light representing an image and a light guide unit that guides the image light to the eyes of a user, and allowing the user to visually recognize a virtual image in a state where the image display unit is mounted on the head of the user; a detecting unit that is disposed in the image display unit and detects at least one of an impact and displacement; and a control unit that generates a given command based on detection data detected in the detecting unit. 1. A head-mounted display device comprising:an image display unit including an image light generating unit that generates image light representing an image, and allowing a user to visually recognize a virtual image in a state where the image display unit is mounted on the head of the user;a detecting unit that detects at least one of an impact and displacement; anda control unit that generates a given command based on detection data detected in the detecting unit.2. The head-mounted display device according to claim 1 , whereinthe detecting unit is disposed in the image display unit.3. The head-mounted display device according to claim 1 , whereinthe image display unit is configured such that the user can visually recognize the virtual image and an outside world image simultaneously, andthe control unit controls, based on detection data detected in the detecting unit, image display with the image light generating unit to adjust the luminance of the image light.4. The head-mounted display device according to claim 3 , whereinthe control unit performs, based on detection data detected in the detecting unit, control of switching between a mode where the user is allowed to visually recognize the virtual image and an outside world image simultaneously and a mode where the luminance of the image light is lowered to allow the user to visually recognize the outside world image preferentially.5. The ...

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Номер записи: 56
26-09-2013 дата публикации

METHOD AND DEVICE FOR REDUCING TEMPORAL NOISE FOR IMAGE

Номер: US20130251282A1
Автор: MIN Chang-Ki
Принадлежит: MTEKVISION CO., LTD.

A temporal noise reduction method and a temporal noise reduction device are provided. The temporal noise reduction device includes a temporal filter unit that performs a temporal filtering operation using pixel values (CP) of an N×M array in a current frame and pixel values (FP) of an N×M array located at the same position in a neighboring frame separated by a distance Tfrom the current frame and a motion filter unit that detects a motion of a pixel image from the resultant values of the temporal filter unit and that eliminates noise of a motion-abundant pixel value using a spatial filter. It is possible to effectively reduce noise of an image to prevent deterioration in image quality of the image and to improve performance of post-processing techniques. 1. A temporal noise reduction device comprising:{'sub': 'P', 'a temporal filter unit that performs a temporal filtering operation using pixel values (CP) of an N×M array in a current frame and pixel values (FP) of an N×M array located at the same position in a neighboring frame separated by a distance Tfrom the current frame; and'}a motion filter unit that detects a motion of a pixel image from the resultant values of the temporal filter unit and that eliminates noise of a motion-abundant pixel using a spatial filter.2. The temporal noise reduction device according to claim 1 , wherein the temporal filter unit includes:a spatial filter that eliminates noise of a noise-present pixel in the pixel values (CP) of an N×M array in the current frame with reference to the pixel values of neighboring pixels; and{'sub': p', 'c', '0, 'a selective temporal filter that performs the temporal filtering operation only when a first condition is satisfied in which a difference between a first absolute difference (dif) calculated by an expression abs(FP−SF) and a second absolute difference (dif) calculated by an expression abs(CP−SF) using the pixel values (CP) of the N×M array in the current frame, the resultant values (SF) of the ...

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Номер записи: 57
26-09-2013 дата публикации

SYSTEM AND METHOD TO SELECTIVELY COMBINE IMAGES

Номер: US20130251283A1
Автор: Atanassov Kalin M., Hwang Hau, Li Hsiang-Tsun
Принадлежит:

Systems and methods to selectively combine images are disclosed. In a particular embodiment, an apparatus includes a registration circuit configured to generate a set of motion vector data based on first image data corresponding to a first image and second image data corresponding to a second image. The apparatus includes a combination circuit to selectively combine the first image data and adjusted second image data that corresponds to the second image data adjusted according to the motion vector data. The apparatus further includes a control circuit to control the combination circuit to generate third image data. 1. A system to selectively combine multiple images , comprising:an application specific control circuit;a hierarchical registration circuit; and a course combining circuit, and', a first filter and a second filter, the first filter and second filter being responsive to an input provided by the application specific control circuit, the input configured to indicate a filter response characteristic;', 'a mean pixel MS difference circuit, configured to perform a pixel by pixel difference operation,', 'an image combining circuit coupled to the mean pixel MS difference circuit,', 'wherein the first filter is configured to filter first image data and provide first filtered image data to the mean pixel MS difference circuit,', 'wherein the second filter is configured to filter second image data and provide second filtered image data to the mean pixel MS difference circuit., 'a fine combining circuit, comprising], 'a hierarchical combination circuit, comprising2. The system of claim 1 , wherein the image combining circuit is configured to receive a difference value from the mean pixel MS difference circuit and to determine a pixel value of each pixel in an output image.3. The system of claim 2 , wherein the application specific control circuit and the image combining circuit are also coupled to a weighting table.4. The system of claim 3 , wherein the image ...

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Номер записи: 58
03-10-2013 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

Номер: US20130259398A1
Автор: Takamura Akihiro
Принадлежит:

An image processing apparatus that generates an output image by deforming an input image by coordinate transformation, comprises a divisor calculation unit calculates a minimum value and a maximum value of a divisor, used in division operation of coordinate transformation; a coefficient calculation unit obtains a range of the divisor in a way that a result of the division operation becomes equal to or smaller than an allowable error, and calculates a normalization parameter by dividing a minimum value of the range by the minimum value of the divisor; a parameter adjustment unit calculates an adjustment parameter used in the coordinate transformation, and outputs the adjustment parameter; and an image deformation processing unit performs transformation processing of the coordinate information using the adjustment parameter, and outputs a result of the transformation processing. 1. An image processing apparatus that generates an output image by deforming an input image by coordinate transformation , comprising:a divisor calculation unit configured to calculate a minimum value and a maximum value of a divisor, used in division operation of coordinate transformation, based on coordinate information of a pixel constituting the input image;a coefficient calculation unit configured to, based on a relation between a divisor and an error in division operation, obtain a range of the divisor in a way that a result of the division operation becomes equal to or smaller than an allowable error, and calculate a normalization parameter by dividing a minimum value of the range by the minimum value of the divisor calculated by said divisor calculation unit;a parameter adjustment unit configured to calculate an adjustment parameter, used in the coordinate transformation, by multiplying an input parameter by the normalization parameter, and output the adjustment parameter; andan image deformation processing unit configured to perform transformation processing of the coordinate ...

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Номер записи: 59
10-10-2013 дата публикации

IMAGE PROCESSING APPARATUS, IMAGING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20130266219A1
Автор: Kurita Teppei, Mitsunaga Tomoo
Принадлежит: SONY CORPORATION

There is provided an image processing apparatus including a representative pixel calculation unit configured to select some pixels in an input image as representative pixels, a representative pixel update unit configured to update pixel values of the representative pixels, and a corrected image generation unit configured to set pixel values for pixels other than the representative pixels by applying the updated pixel values of the representative pixels. The representative pixel update unit is configured to, based on pixels around a position of the representative pixels in a smoothed image generated based on the input image as reference pixels, execute pixel value correction of the representative pixels by applying the pixel values of the reference pixels. 1. An image processing apparatus comprising:a representative pixel calculation unit configured to select some pixels in an input image as representative pixels;a representative pixel update unit configured to update pixel values of the representative pixels; anda corrected image generation unit configured to set pixel values for pixels other than the representative pixels by applying the updated pixel values of the representative pixels,wherein the representative pixel update unit is configured to, based on pixels around a position of the representative pixels in a smoothed image generated based on the input image as reference pixels, execute pixel value correction of the representative pixels by applying the pixel values of the reference pixels.2. The image processing apparatus according to claim 1 ,wherein the representative pixel calculation unit is configured to generate a YCbCr image in which luminance Y and color difference Cb and Cr pixel values are set for each pixel based on the input image, and generate a representative pixel image formed from representative pixels in which unique YCbCr pixel values, respectively, are set for the representative pixels, and non-representative pixels in which a unique ...

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Номер записи: 60
17-10-2013 дата публикации

RADIATION IMAGE ACQUISITION DEVICE, AND IMAGE PROCESSING METHOD

Номер: US20130270448A1
Автор: Ishitsu Takafumi, Maruyama Takatoshi, Tsuchiya Katsutoshi, Ueno Yuichiro
Принадлежит: Hitachi, Ltd.

An image processing device of a radiation image acquisition device () uses a weighted filter to perform a smoothing (processing S) on an image obtained by counting the number of incident gamma rays. The image processing device suppresses pixel values of a threshold value or less on the smoothed image (processing S). Further, the image processing device again applies a weighted and smoothing filter to the image processed by a threshold-value processing, to expand the pixels of the accumulation portion (processing S); thus providing an image that facilitates finding the accumulation portion of a radioisotope. 1. A radiation image acquisition device comprising:a distribution-image creation means configured to create an image of a distribution of radioactive rays detected;a first filtering means configured to perform a first low-pass filtering to the image created; anda second filtering means configured to suppress pixel values of a threshold value or less, the pixel values being of respective pixels on the image obtained by the processing of the first filtering means.2. The radiation image acquisition device according to claim 1 , further comprising a third filtering means configured to again perform a second low-pass filtering to the image obtained by the processing of the second filtering means.3. The radiation image acquisition device according to claim 1 , further comprising a threshold setting means claim 1 ,wherein the threshold setting means determines the threshold value for the pixel value, based on a count number of noise which is found by multiplying a count rate of the noise estimated depending on an acquisition time of the image; by the acquisition time.4. The radiation image acquisition device according to claim 1 , further comprises a threshold setting means claim 1 ,wherein the distribution-image creating means creates an image for threshold calculation of a distribution of the radioactive rays using an energy window different from an energy window ...

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Номер записи: 61
17-10-2013 дата публикации

METHOD TO OBTAIN 3D IMAGES OF A FLOWING REGION BENEATH AN OBJECT USING SPECKLE REFLECTIONS

Номер: US20130272597A1
Автор: Maev Roman Gr., Malyarenko Eugene, Sadler Jeffrey T.
Принадлежит: Tessonics Corp.

A method for imaging a flowing media within static regions includes obtaining a plurality of signals using the speckle properties of the flowing media. The plurality of signals are compared to one another such as by subtraction. The static regions are removed from the plurality of signals by the comparison. The remaining signals are combined (such as by summing) to produce an image of the flowing media. 1. A method for imaging a flowing media within static regions including the steps of:a) obtaining a plurality of signals using the speckle properties of the flowing media;b) comparing the plurality of signals to one another; andc) removing the static regions from the plurality of signals during said step b).2. The method of wherein the flowing media is blood within a skull and within soft tissue.3. The method of wherein said step b) includes subtracting the plurality of signals from one another.4. The method of further including the step of enhancing the speckle properties of the plurality of signals by filters or other denoising operations.5. The method of further including the step of enhancing the speckle properties of the plurality of signals by convolution or correlation operations.6. The method of further including the step of enhancing the speckle properties of the plurality of signals by transmission to phase space.7. The method of wherein said step b) includes comparing the differences between the plurality of signals.8. The method of wherein said step b) includes comparing the plurality of signals via subtraction.9. The method of wherein said step b) includes comparing each of the plurality of signals with each of the others of the plurality of signals.10. The method of wherein the comparing in step b) is subtracting.11. The method of further including the step of:d) combining the results from each of the comparisons of step b). This invention relates generally to the medical imaging field, and more specifically to a method and system using ultrasound for ...

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Номер записи: 62
17-10-2013 дата публикации

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20130272605A1
Автор: Saito Yasushi, TAKEUCHI Satoru, Yasuma Fumihito
Принадлежит: SONY CORPORATION

Provided is an image processing device including a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image. The data conversion processing unit includes a pixel interpolation unit that calculates interpolated pixel values corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image, a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image, a corrected value calculation unit that calculates corrected pixel values by correcting pixel values of the purple fringe pixels, and a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values calculated by the pixel interpolation unit with the corrected pixel values calculated by the corrected value calculation unit. 1. An image processing device comprising:a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image, a pixel interpolation unit that calculates interpolated pixel values r1, g1, and b1 corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image,', 'a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image,', 'a corrected value calculation unit that calculates corrected pixel values r2, g2, and b2 by correcting pixel values of the purple fringe pixels, and', 'a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values r1, g1, and b1 calculated by the pixel interpolation unit with the corrected pixel values r2, g2, and b2 calculated by the corrected value calculation unit., 'wherein the data conversion processing unit includes'}2. The ...

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Номер записи: 63
24-10-2013 дата публикации

MEDIAN FILTERING APPARATUS AND METHOD

Номер: US20130279824A1
Автор: ZHU Jianqing
Принадлежит: FUJITSU LIMITED

A median filtering apparatus and related method for finding out a median from 2r+1 input data, which includes 2(r+1) comparators, a counter, a circuit to obtain a minimum, a register, a state machine, and an adder. 2r+1 comparators of the comparators compare input data with a first predetermined value and compare the 2r+1 input data with an output value of the register. The counter counts the number of input data that are not larger than the first predetermined value or the output value of the register of the input data. The circuit finds out a minimum value of the input data that are larger than the first predetermined value or the output value of the register of the input data and a second predetermined value. The remaining one comparator of the 2(r+1) comparators compares the number counted by the counter with “r”. 1. A median filtering apparatus for finding out a median from 2r+1 input data , characterizing comprising 2(r+1) comparators , a counter , a circuit for obtaining a minimum , a register , a state machine , and an adder , wherein:2r+1 comparators of the 2(r+1) comparators are used for comparing the 2r+1 input data with a first predetermined value and for comparing the 2r+1 input data with an output value of the register;the counter is used for counting the number of input data that are not larger than the first predetermined value or the output value of the register of the 2r+1 input data;the circuit for obtaining a minimum is used for finding out a minimum of the input data that are larger than the first predetermined value or the output value of the register of the 2r+1 input data and a second predetermined value;the register is used for registering the minimum found out by the circuit for obtaining a minimum;the remaining one comparator of the 2(r+1) comparators is used to comparing the number counted by the counter with “r”; andthe state machine and the adder are used for generating an indication signal indicating whether the output value of the ...

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Номер записи: 64
07-11-2013 дата публикации

METHOD OF RECONSTRUCTING IMAGE AND APPARATUS AND TOMOGRAPHY APPARATUS FOR PERFORMING THE SAME

Номер: US20130294568A1
Автор: CHO Seung-ryong, Jang Kwang-eun, Lee Jong-ha, Lee Kang-eui, SUNG Young-hun
Принадлежит:

A method of reconstructing a tomography image of an object from a plurality of projection images generated by scanning the object in a plurality of projection directions includes: determining whether a truncated portion of the object exists in the plurality of projection images; reconstructing a first reconstruction image; calculating projection data for the first reconstruction image; and reconstructing a tomography image of the object by using the calculated projection data. 1. A method of reconstructing a tomography image of an object from a plurality of projection images generated by scanning the object in a plurality of projection directions , the method comprising:determining whether a truncated portion of the object is present in each of the plurality of projection images;reconstructing a first reconstruction image by using at least one projection image, in which a truncated portion of the object is absent, based on a result of the determining;calculating projection data for the first reconstruction image, by using the first reconstruction image; andreconstructing a tomography image of the object by using the calculated projection data.2. The method of claim 1 , wherein the calculating the projection data comprises calculating the projection data corresponding to each of truncated projection images claim 1 , in which the truncated portion of the object is present claim 1 , based on a projection direction for each of the truncated projection images.3. The method of claim 1 , further comprising:estimating truncation data representing a truncated portion of the object with respect to at least one of truncated projection images, in which the truncated portion of the object is present, by using the calculated projection data,wherein the reconstructing the tomography image comprises reconstructing the tomography image of the object by using the estimated truncation data.4. The method of claim 3 , wherein the calculating the projection data comprises calculating the ...

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Номер записи: 65
07-11-2013 дата публикации

NOISE REMOVAL FROM IMAGES CONTAINING TEXT

Номер: US20130294693A1
Автор: Diaz Spindola Serafin, Rezaiifar Ramin
Принадлежит: QUALCOMM INCORPORATED

The noise in an image having text is removed by convolving a shaped kernel centered on a pixel for each pixel in the image. The shaped kernel has a shape configured to identify pixels that are not part of the text. For example, the shaped kernel may be shaped with zeros in a center of the kernel to identify pixels that are not part of the text. A value for the pixel is set to erase the pixel when the resulting convolution value for the pixel is less than a threshold. The process may be repeated multiple times for differently shaped kernels, including kernels of different sizes and different configurations, such as having values greater than one in at least one of a row, column, and diagonal. 1. A method of removing noise in an image that includes text , the method comprising:receiving the image that includes the text;convolving a shaped kernel centered on each of a plurality of subsets of pixels in the image to produce a convolution value for each subset of pixels in the plurality of subsets of pixels, the shaped kernel having a shape configured to identify subsets of pixels that are not part of the text;setting a value to erase a subset of pixels when the convolution value for the subset of pixels is less than a threshold to generate a filtered image; andproducing the filtered image.2. The method of claim 1 , wherein each subset of pixels comprises one pixel.3. The method of claim 1 , wherein the shaped kernel is shaped with zeros in a center of the shaped kernel and ones everywhere else to identify isolated pixels that are unlikely to be part of the text.4. The method of claim 1 , further comprising convolving a second shaped kernel centered on each of the plurality of subsets of pixels to produce a second convolution value for each subset of pixels claim 1 , the second shaped kernel having a shape configured to assign higher weights to subsets of pixels that are likely to be part of an alphabet used in the text or other shapes in the image that are desired to be ...

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Номер записи: 66
14-11-2013 дата публикации

DISPLAY INSTRUMENT AND IMAGE DISPLAY METHOD

Номер: US20130300766A1
Автор: Mukawa Hiroshi
Принадлежит: SONY CORPORATION

A head-mounted display device including an image display apparatus configured to display a captured image of a portion of an environment viewable through the head-mounted display device; and a dimmer configured to, while the captured image is displayed, allow a portion of ambient light from the environment to pass through the dimmer. Also, a method of displaying information on a head-mounted display device. The method may include displaying a captured image of a portion of an environment viewable through the display device; and dimming ambient light received through the head-mounted display device from the environment while displaying the captured image. 1. A head-mounted display device comprising:an image display apparatus configured to display a captured image of a portion of an environment viewable through the head-mounted display device; anda dimmer configured to, while the captured image is displayed, allow a portion of ambient light from the environment to pass through the dimmer.2. The head-mounted display device of claim 1 , further comprising:at least one storage device configured to store display data; andwherein the image display apparatus is further configured to display the display data.3. The head-mounted display device of claim 2 , wherein the display data is selected from the group comprising a character claim 2 , a word claim 2 , a sentence claim 2 , a figure claim 2 , an illustration claim 2 , a still image and a moving image.4. The head-mounted display device of claim 1 , further comprising:a controller configured to, in response to receiving an indication to switch from a first mode of operation to a subsequent mode of operation:command the image display apparatus to switch from displaying the captured image to displaying the display data; andcommand the dimmer to switch from allowing a first portion of ambient light from the environment to pass through the dimmer to allowing a second portion of ambient light from the environment to pass through ...

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Номер записи: 67
14-11-2013 дата публикации

Vision System and Method for Motion Adaptive Integration of Image Frames

Номер: US20130300883A1
Автор: Brodsky Ethan, Mertes-Mistretta Justin, Mistretta Charles, Oberstar Erick
Принадлежит:

A night vision device and method for filtering a series of image frames that depict a moving subject, which thereby improves the signal-to-noise ratio of each image frame, is provided. A composite image is formed for each image frame by combining pixel values in a current image frame with pixel values in composite images corresponding to image frames acquired before the current image frame. Additionally, pixels values in image frames acquired subsequent to the acquisition of the current image frame are included when forming the composite image. A bi-directional recursive filter is used to weight the contributions from the previous composite images and subsequent image frames with a decay constant. Motion of the imaging system is optionally compensated for by establishing a moving reference frame and shifting the image frames to account for this motion; thus, registering the image frames before filtering the current image frame. 1. A night vision device for providing images of a scene to a user , the night vision device comprising:an optical apparatus configured to receive light from the scene; detect the light from the scene;', 'produce a series of image frames of the scene using the detected light from the scene;, 'an image array coupled to the optical apparatus and configured to receive, from the image array, the series of image frames of the scene;', 'produce a series of filtered image frames by combining a currently produced image frame with at least one prior image frame produced prior to the currently produced image frame and at least one subsequent image frame produced subsequent to the currently produced image frame;, 'an image processor in communication with the image array and configured to receive the series of filtered image frames from the image processor; and', 'display the filtered image frames to the user., 'a display device in communication with the image array and configured to2. The night vision device as recited in in which the image processor is ...

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Номер записи: 68
14-11-2013 дата публикации

MULTIPLIERLESS COPROCESSOR FOR DIFFERENCE OF GAUSSIAN (DOG) CALCULATION

Номер: US20130301950A1
Автор: Licciardo Gian Domenico, Vigliar Mario
Принадлежит:

A hardware architecture is applied to the calculation of a Difference-of-Gaussian filter, which is typically employed in image processing algorithms. The architecture has a modular structure to easily allow the matching of the desired delay/area ratio as well as a high computational accuracy. A new solution is provided for the implementation of multiply-accumulators which allows a significant reduction of area with respect to the conventional architectures. 1. A multiplier accumulator circuit comprising:a first lookup table configured to provide Bachet terms in response to an input pixel value;a plurality of second lookup tables configured to provide intermediate values in response to the Bachet terms; anda set of full adders configured to sum the inte mediate values from the second lookup tables and to provide an output value representative of the input pixel value multiplied by a coefficient.2. A multiplier accumulator circuit as defined in claim 1 , wherein the set of full adders is configured to add a further input value to the output value representative of the input pixel value multiplied by the coefficient.3. A multiplier accumulator circuit as defined in claim 1 , configured for use in a Difference-of-Gaussian calculation claim 1 , wherein the coefficient is a Gaussian coefficient.4. A multiplier accumulator circuit as defined in claim 1 , wherein the input pixel value is an eight-bit data value.5. A multiplier accumulator circuit as defined in claim 1 , wherein the plurality of second lookup tables includes six second lookup tables and wherein the set of full adders includes five full adders.6. A multiplier accumulator circuit as defined in claim 2 , wherein the plurality of second lookup tables includes six second lookup tables and wherein the set of full adders includes six full adders.7. A multiply accumulate method comprising:providing Bachet terms from a first lookup table in response to an input pixel value;providing intermediate values from a ...

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Номер записи: 69
14-11-2013 дата публикации

METHOD AND APPARATUS FOR REMOVING IMAGE NOISE

Номер: US20130301951A1
Автор: HAN Seung-hoon, LEE Mi-yeon
Принадлежит:

Provided are a method and apparatus for removing image noise. The method includes: separating an input image signal into a signal component and a noise component; converting the noise component into a decorrelated noise component that is spatiotemporally decorrelated from neighboring pixels; and generating an image signal by adding the decorrelated noise component to the signal component. 1. A method of removing image noise , the method comprising:separating an input image signal into a signal component and a noise component;converting the noise component into a decorrelated noise component that is spatially decorrelated from neighboring pixels;generating an out image signal that is decorrelated from noise by adding the decorrelated noise component to the signal component; andperforming temporal filtering on the out image signal to remove temporal image noise.2. The method of claim 1 , wherein the converting of the noise component into the decorrelated noise component comprises adjusting a gain of a low frequency noise component input according to a random signal and converting the low frequency noise component into a random noise component.3. The method of claim 1 , wherein the converting of the noise component into the decorrelated noise component comprises randomly converting a chrominance noise level of a current field into a chrominance noise level of a previous field.4. The method of claim 1 , wherein the converting of the noise component into the decorrelated noise component comprises:performing a first decorrelation on luminance noise;performing a second decorrelation on chrominance noise;converting a luminance noise component of a current field into a high frequency random noise component; andconverting a chrominance noise level of the current field into a chrominance noise level of a previous field.5. The method of claim 1 , wherein the converting of the noise component into the decorrelated noise component comprises:extracting image motion information by ...

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Номер записи: 70
14-11-2013 дата публикации

METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR ALIGNMENT OF FRAMES

Номер: US20130301952A1
Автор: GOVINDARAO Krishna Annasagar, UKIL Soumik
Принадлежит: Nokia Corporation

In an example embodiment a method, apparatus and computer program product are provided. The method includes accessing feature points in a first frame of a content, and aligning a second frame to the first frame based on determining a transformation matrix between the second frame and the first frame based on matching the feature points in the first frame with a corresponding feature points in the second frame. The method further includes aligning at least one subsequent frame from the second frame to the first frame by generating a modified first frame based on a transformation matrix between a preceding frame of a subsequent frame and the first frame, and determining a transformation matrix between the subsequent frame and the first frame based on matching a set of feature points in the modified feature points with corresponding feature points in the subsequent frame. 1. A method comprising:accessing a set of feature points in a first frame of a content, wherein the first frame selected from a plurality of frames of the content;aligning a second frame of the content to the first frame based on determining a transformation matrix between the second frame and the first frame, wherein the transformation matrix is determined based on matching the set of feature points in the first frame with a corresponding set of feature points in the second frame; and generating a modified first frame of the first frame based at least on a transformation matrix between a preceding frame of the subsequent frame and the first frame; and', 'determining a transformation matrix between the subsequent frame and the first frame for aligning the subsequent frame to the first frame, wherein the transformation matrix is determined based on matching a set of feature points in the modified first frame with a corresponding set of feature points in the subsequent frame., 'aligning at least one subsequent frame from the second frame to the first frame, wherein a subsequent frame is aligned to the ...

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Номер записи: 71
21-11-2013 дата публикации

METHOD AND APPARATUS FOR IMAGE PROCESSING

Номер: US20130308841A1
Автор: JUNG Hae-kyung, LEE Jae-chool, PARK Jong-geun, YIM Jin-woo
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

An image processing method and apparatus includes receiving a transmission image as an input image, obtaining a threshold which is applied to noise removal, based on at least one image information from among information related to a pixel intensity of the input image and an edge map, and removes noise in the input image by using the threshold. 1. A method of processing an image , the image processing method comprising:receiving an object transmission photographed image as an input image;obtaining a threshold which is applied to remove noise in the input image, based on at least one image information from among information related to pixel intensity of the input image and an edge map; andremoving the noise from the input image by using the threshold.2. The method of claim 1 , wherein the information relating to the pixel intensity comprises information related to a variance of the pixel intensity in a predetermined pixel which is included in the input image.3. The method of claim 2 , wherein the obtaining of the threshold comprises increasing the threshold in proportion to the variance claim 2 , based on the information related to the variance of the pixel intensity.4. The method of claim 3 , wherein the obtaining of the threshold comprises reducing the threshold claim 3 , which is applied to remove the noise in an edge area which is included in the input image claim 3 , based on the edge map.5. The method of claim 1 , wherein the information relating to the pixel intensity comprises information related to the intensity of the predetermined pixel included in the input image and the variance of the pixel intensity.6. The method of claim 1 , further comprising dividing a range of the pixel intensity into N segments claim 1 , and obtaining information related to the pixel intensity claim 1 , which respectively corresponds to the divided range of the pixel intensity and a variance of the pixel intensity.7. The method of claim 6 , wherein the obtaining of the threshold ...

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Номер записи: 72
05-12-2013 дата публикации

WINDOW COMBINING DEVICE

Номер: US20130321449A1
Автор: Hamada Masaki, Kase Takaaki, Kasuga Takafumi, Kato Kiyotaka, Kato Yoshiyuki, Torii Akira, Yonezawa Eisuke
Принадлежит: Mitsubishi Electric Corporation

A window combining device includes a window control unit for adding one window number to pixels on a window-by-window basis, a two-dimensional drawing engine for combining a drawn window including the pixels to which the window number is added by the window control unit into a display window, and a display control unit for displaying the display window into which the drawn window is combined by the two-dimensional drawing engine. When an update occurs in one of a plurality of drawn windows which construct the display window, the two-dimensional drawing engine computes an original background color from a pixel to which a blend flag showing that the pixel is a target for an antialiasing process is added, the pixel being included in pixels of the window for which the update occurs, and carries out the antialiasing process and recombines pixels into the display window. 1. A window combining device comprising:a window control unit for adding one window number to pixels on a window-by-window basis;a two-dimensional drawing engine for combining a drawn window including the pixels to which the window number is added by said window control unit into a display window, and for adding a blend flag to a pixel which is a target for an antialiasing process, the blend flag showing that the pixel is the target for the antialiasing process, and computing an original background color from the pixel in said display window to which said blend flag is added and carrying out said antialiasing process; anda display control unit for displaying the display window into which the drawn window is combined by said two-dimensional drawing engine.2. The window combining device according to claim 1 , wherein when combining the drawn window into the display window claim 1 , the two-dimensional drawing engine combines only the pixels in the drawn window to which the window number is added into the display window.3. The window combining device according to claim 2 , wherein said window combining ...

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Номер записи: 73
05-12-2013 дата публикации

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Номер: US20130322779A1
Автор: Noda Takeshi
Принадлежит: CANON KABUSHIKI KAISHA

An information processing apparatus has a decomposition unit that decomposes an image into multiple frequency component images, a reduction unit that reduces linear noise included in the frequent component images, and a reconstruction unit that reconstructs the frequency component images with reduced linear noise. 1. An information processing apparatus comprising:a decomposition unit configured to decompose an image into a plurality of frequency component images;a reduction unit configured to reduce linear noise included in the frequency component images; anda reconstruction unit configured to reconstruct the frequency component images in which the linear noise was reduced.2. The information processing apparatus according to claim 1 , further comprising:a generation unit configured to generate an input image by performing weighted average processing on an input image in a predetermined direction, whereinthe decomposition unit performs frequency decomposition on the image that underwent weighted average processing.3. The information processing apparatus according to claim 1 , wherein the decomposition unit decomposes an input image into a plurality of frequency component images in a predetermined direction.4. The information processing apparatus according to claim 3 , wherein the predetermined direction differs from a direction of adding in the weighted average processing.5. The information processing apparatus according to claim 2 , further comprising:a second generation unit configured to generate an image by, based on the image that underwent weighted average processing and the reconstructed image, subtracting the linear noise image from the input image.6. The information processing apparatus according to claim 5 , comprising:an extraction unit configured to subtract the reconstructed image from the image that underwent weighted average processing and extract a linear noise image along the predetermined direction; anda difference image generation unit configured ...

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Номер записи: 74
26-12-2013 дата публикации

Image processing apparatus, imaging apparatus, image processing method, and program

Номер: US20130342736A1
Автор: Satoshi Numata
Принадлежит: Sony Corp

An image processing apparatus includes: a noise-removed image generation unit which, on the basis of an input image and a reduced image obtained by reducing the input image at predetermined magnification, generates a noise-removed image with noise in the input image removed; and a corrected image generation unit which generates, from the noise-removed image, a high-frequency component image primarily having a frequency component of the noise-removed image in the same band as a frequency component to be removed by band limitation in the reduction at the predetermined magnification and generates an edge-corrected image on the basis of the noise-removed image and the high-frequency component image.

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Номер записи: 75
26-12-2013 дата публикации

IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, VIDEO ENCODING/DECODING METHODS, VIDEO ENCODING/DECODING APPARATUSES, AND PROGRAMS THEREFOR

Номер: US20130343470A1
Автор: Jozawa Hirohisa, Matsumura Masaaki, Shimizu Atsushi, Takamura Seishi
Принадлежит: Nippon Telegraph and Telephone Corporation

The computational complexity of a denoising filter is reduced while suppressing a reduction in coding efficiency. In an image processing apparatus, an edge direction detection unit calculates an edge direction using a denoising target image. A search shape setting unit sets a search shape in which the number of search points along the direction perpendicular to the edge direction is smaller than the number of search points along the edge direction, using the calculated edge direction as an index used for limiting the search shape. When noise of a target pixel is removed with a weight in accordance with the degree of template similarity between a template for the target pixel and a template for each of search points within a search shape and the weighted sum of pixel values at the search points, a filter execution unit executes a process of performing template matching on only search points within the set search shape and removing the noise of the target pixel. 1. An image processing method which performs template matching between a template which is a comparison source for a denoising target pixel in a denoising target image and a template for each of search points which are search targets in a search shape in the denoising target image and removes noise of the target pixel with a weight in accordance with the degree of similarity between the templates and the weighted sum of pixel values at the search points , the method comprising:a step of calculating an edge direction using the denoising target image;a step of setting a search shape in which the number of search points along the direction perpendicular to the edge direction is smaller than the number of search points along the edge direction, using the calculated edge direction as an index used for limiting the search shape; anda step of executing a process of performing the template matching on only search points within the set search shape and removing the noise of the target pixel.2. An image processing ...

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Номер записи: 76
26-12-2013 дата публикации

SUPPRESSION OF REVERBERATIONS AND/OR CLUTTER IN ULTRASONIC IMAGING SYSTEMS

Номер: US20130343627A1
Автор: ZWIRN Gil
Принадлежит: CRYSTALVIEW MEDICAL IMAGING LIMITED

There is provided a method for reverberation and/or clutter suppression in ultrasonic imaging, comprising: computing similarity measures between voxels within a cine-loop or subset of the cine-loop, to assess their spatial and/or temporal self-similarity; for at least one of: (i) each voxel; (ii) each group of adjacent voxels within the cine-loop or subset of the cine-loop; and (iii) each group of voxels which are determined to be affected by reverberations and/or clutter, based on one or more criteria; computing one or more reverberation and/or clutter parameters; and for at least one of: (i) each voxel; (ii) each group of adjacent voxels within the cine-loop or subset of the cine-loop; and (iii) each group of voxels which are determined to be reverberation and/or clutter affected voxels, based on one or more criteria, applying reverberation and/or clutter suppression using the corresponding reverberation and/or clutter suppression parameters. 2110. The method of claim 1 , wherein in step claim 1 , the processed subset of the cine loop is defined by at least one of:(a) a set of entries into the scanned data array for all frames;(b) a set of entries into the scanned data array for a set of the cine loop frames; and(c) sets of entries into the scanned data array for each of a set of frames.3. The method of claim 1 , wherein said clutter is at least one of:(a) reverberation; and(b) sidelobe clutter.4. The method of claim 1 , wherein the self-similarity is at least one of:(a) spatial self-similarity; and(b) temporal self-similarity.5. The method of claim 1 , wherein multiple reflected signals are received from the target medium claim 1 , wherein each reflected signal corresponds to a different receive beam of probe claim 1 , and wherein each reflected signal is being processed by the method of separately.6. The method of claim 1 , wherein:(a) Two or more groups of voxels, corresponding to different sets of entries into the scanned data array and/or to different frames, ...

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Номер записи: 77
02-01-2014 дата публикации

DENOISING APPARATUS, SYSTEM AND METHOD

Номер: US20140003735A1
Автор: Artyomov Evgeny, LEE Jong-Hwa, Voronov German
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

A denoising apparatus comprising an image input unit which receives pixel data including color information of pixels included in a correction target image, a denoising unit which denoises the pixel data by a weight based averaging method, wherein the weight is set to a maximum value when a difference value between a correction target block and a comparison target block in the correction target image is zero, decreases linearly to zero as the difference value increases until it reaches a threshold value, and is set to zero when the difference value is greater than or equal to the threshold value, and an image output unit which outputs the pixel data processed by the denoising unit. The denoising unit assigns a corrected weight value to at least a guaranteed number of comparison target blocks for an impulse block, where an impulse block is a correction target block for which the number of non-zero weight valued comparison target blocks is less than a predetermined guaranteed number. 1. A denoising apparatus comprising:an image input unit configured to receive pixel data including color information of pixels included in a correction target image;a denoising unit configured to denoise the pixel data by a weighted-averaging method, wherein a weight is set to a maximum value when a difference value between a correction target block and a comparison target block in the correction target image is zero, decreases linearly to zero as the difference value increases until it reaches a threshold value, and is set to zero when the difference value is equal to or greater than the threshold value; andan image output unit configured to output denoised pixel data,wherein the denoising unit is configured to assign a corrected weight value to at least a guaranteed number of comparison target blocks for an impulse block, and the impulse block is a correction target block for which the number of non-zero weight valued comparison target blocks is less than a predetermined guaranteed ...

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Номер записи: 78
16-01-2014 дата публикации

THERMAL IMAGE SMOOTHING METHOD, SURFACE TEMPERATURE-MEASURING METHOD, AND SURFACE TEMPERATURE-MEASURING DEVICE

Номер: US20140016855A1
Автор: Seki Kento
Принадлежит: TOYOTA JIDOSHA KABUSHIKI KAISHA

The thermal image smoothing method, which is a method for smoothing thermal images produced on the basis of thermal image values measured with a work that has been coated with a black body coating, is provided with a removal process wherein estimated thermal image values are set as values on respective line segments between maximum points and thermal image values that are smaller than the estimated thermal image values are removed from the thermal image values as anomalous thermal image values. 1. A method for smoothing a thermal image produced based on thermal image values of a work to be measured on which a black body coating is applied , comprising:a removal step for removing thermal image values which are smaller than an estimated value from the thermal image values of the work as unexpected values,wherein the removal step comprises:a first selection step for selecting maximum points from the thermal image values;a second selection step for selecting additional points having bigger thermal image values than the estimated value, which is set on a line between each two of the adjacent maximum points selected in the first selection step; andan interpolation step for performing a linear interpolation using the maximum points selected in the first selection step and the additional points selected in the second selection step.2. The method according to claim 1 ,wherein the removal step is repeated.3. The method according to claim 1 ,wherein the thermal image values are sorted to row data and column data based on a position in the work, and the thermal image values in the row data and in the column data are used in the removal step.4. A method for measuring a surface temperature comprising the method according to .5. An apparatus for measuring a surface temperature comprising a processor for carrying out the method according to .6. (canceled)7. The method according to claim 2 ,wherein the thermal image values are sorted to row data and column data based on a position ...

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Номер записи: 79
16-01-2014 дата публикации

SIGNAL PROCESSING APPARATUS AND SIGNAL PROCESSING METHOD

Номер: US20140016869A1
Автор: Hirakawa Takashi, Ichitsubo Taro
Принадлежит:

A signal processing apparatus includes a representative value calculation unit and a low pass component extraction value calculation unit. The representative value calculation unit is configured to calculate, when areas obtained by dividing a frame image in units of a plurality of pixels are each assumed as a block, an average value of pixel values within each block as a representative value of the block based on an input video signal. The low pass component extraction value calculation unit is configured to perform spline interpolation using the representative values of the blocks located near a pixel being a calculation target for a low pass component extraction value, to calculate the low pass component extraction value of the calculation target. 1. A signal processing apparatus , comprising:a representative value calculation unit configured to calculate, when areas obtained by dividing a frame image in units of a plurality of pixels are each assumed as a block, an average value of pixel values within each block as a representative value of the block based on an input video signal; anda low pass component extraction value calculation unit configured to perform spline interpolation using the representative values of the blocks located near a pixel being a calculation target for a low pass component extraction value, to calculate the low pass component extraction value of the calculation target.2. The signal processing apparatus according to claim 1 , whereinthe low pass component extraction value calculation unit performs spline interpolation using representative values of 16 blocks of four horizontal blocks by four vertical blocks that are located near the pixel being the calculation target.3. The signal processing apparatus according to claim 2 , wherein to perform vertical-direction spline interpolation for each column by using representative values of the four blocks constituting the column to calculate low pass component extraction values of four positions on ...

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Номер записи: 80
23-01-2014 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM

Номер: US20140023252A1
Автор: IMAI Yoshiro
Принадлежит: FUJIFILM Corporation

A first processed signal is extracted by extracting an input spatial frequency component corresponding to a periodic pattern by performing filtering processing on an image signal. A subject component of an image included in the extracted first processed signal is extracted from the first processed signal. A second processed signal is extracted by subtracting the first processed signal from the image signal and also by adding the extracted subject component to the image signal. 1. An image processing apparatus that suppresses a spatial frequency component corresponding to a periodic pattern included in an image , the apparatus comprising:a first processed signal extraction unit that extracts a first processed signal by extracting an input spatial frequency component corresponding to the periodic pattern by performing filtering processing on an image signal representing the image;a subject component extraction unit that extracts, from the extracted first processed signal, a subject component of the image, and the subject component being included in the first processed signal; anda second processed signal extraction unit that extracts a second processed signal by subtracting the first processed signal from the image signal and also by adding the extracted subject component to the image signal.2. The image processing apparatus claim 1 , as defined in claim 1 , wherein the subject component extraction unit extracts claim 1 , from the first processed signal claim 1 , a high contrast component exceeding a predetermined threshold claim 1 , as the subject component.3. The image processing apparatus claim 2 , as defined in claim 2 , wherein the threshold differs depending on an imaged region or an imaging condition of the image.4. The image processing apparatus claim 1 , as defined in claim 1 , the apparatus further comprising:a region extraction unit that extracts an imaged region of the image from the image.5. The image processing apparatus claim 1 , as defined in claim 1 , ...

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Номер записи: 81
30-01-2014 дата публикации

SYSTEMS AND METHODS FOR VIDEO/MULTIMEDIA RENDERING, COMPOSITION, AND USER-INTERACTIVITY

Номер: US20140028721A1
Автор: Kalva Hari, Puri Atul
Принадлежит:

An interactive video/multimedia application (IVM application) may specify one or more media assets for playback. The IVM application may define the rendering, composition, and interactivity of one or more the assets, such as video. Video multimedia application data (IVMA data may) be used to define the behavior of the IVM application. The IVMA data may be embodied as a standalone file in a text or binary, compressed format. Alternatively, the IVMA data may be embedded within other media content. A video asset used in the IVM application may include embedded, content-aware metadata that is tightly coupled to the asset. The IVM application may reference the content-aware metadata embedded within the asset to define the rendering and composition of application display elements and user-interactivity features. The interactive video/multimedia application (defined by the video and multimedia application data) may be presented to a viewer in a player application. 1. An apparatus , comprising:processing logic to automatically detect an object in at least a portion of at least one image frame of video content, and to associate metadata corresponding to the detected object with the image frame, wherein the metadata associates at least one multimedia element with the detected object, and wherein upon rendering of the image frame, the multimedia element is to be overlaid on the detected object based on the metadata; andmemory coupled to the processing logic, the memory to store the image frame.2. The apparatus of claim 1 , wherein the multimedia element is to provide for user interactivity based on the metadata.3. The apparatus of claim 2 , wherein to provide for user interactivity the multimedia element is to provide a user interface element.4. The apparatus of claim 1 , wherein to automatically detect an object comprises to automatically detect at least one of a shape claim 1 , an object claim 1 , a texture claim 1 , an edge claim 1 , or text.5. The apparatus of claim 1 , ...

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Номер записи: 82
30-01-2014 дата публикации

CONCURRENT IMAGE PROCESSING FOR GENERATING AN OUTPUT IMAGE

Номер: US20140028870A1
Автор: PATUCK NAUSHIR, Plowman David, SEWELL BENJAMIN, VEITCH GRAHAM
Принадлежит: BROADCOM CORPORATION

Embodiments of the present application automatically utilize parallel image captures in an image processing pipeline. In one embodiment, image processing circuitry concurrently receives first image data to be processed and second image data to be processed, wherein the second image data is processed to aid in enhancement of the first image data. 1. A system comprising:a hardware processor; andan image processing circuitry configured to receive first image data to be processed and second image data to be processed to aid in enhancement of the first image data,the image processing circuitry comprising an imaging pipeline for processing a plurality of image data, wherein the image processing circuitry is configured to process the first image data at full-resolution and is configured to process the second image data at a down-scaled resolution; wherein a portion of the image processing circuitry is configured to shut down after passing extracted data for processing of the first image data without storing the extracted data in memory.2. The system of claim 1 , further comprising a first image sensor configured to capture the first image data and a second image sensor configured to capture the second image data.3. The system of claim 1 , wherein the enhancement of the first image data comprises at least one of noise filtering claim 1 , dynamic range optimization claim 1 , or high dynamic range imaging.4. The system of claim 1 , wherein the image processing circuitry features multiple parallel pipeline paths comprising a first pipeline configured to process the first image data at full-resolution and a second pipeline configured to process the second image data at the down-scaled resolution.5. The system of claim 1 , wherein the image processing circuitry features a single pipeline path configured to process a multiplexed stream comprising the first image data at full-resolution and the second image data at the down-scaled resolution.6. The system of claim 1 , further ...

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Номер записи: 83
30-01-2014 дата публикации

SYSTEM AND METHOD FOR IMAGE IMPROVED IMAGE ENHANCEMENT

Номер: US20140029850A1
Автор: DEACON KEITH S., MEYERS RONALD E.
Принадлежит:

System and method for image improvement comprising providing a series of frames; summing pixel values to obtain frame intensity; computing average frame intensity; determining frame intensity deviation for each frame by subtracting average frame intensity from frame intensity; determining an array of average pixel values (AAPV) and subtracting AAPV from the pixel value arrays to determine positive or negative pixel deviation values; grouping frames in first or second groups depending positive or negative frame intensity deviation; selecting all pixel values having a positive or negative deviation value and creating subgroups of positive or negative pixel deviation value frames, multiplying the pixel deviation value frames in each subgroup by frame intensity deviation to create first product arrays, which are summed together and divided by total number of frames to obtain second product arrays for each subgroup; selecting one or more of second product arrays to generate an image. 1. A processor-implemented method for image improvement comprising the following steps not necessarily in sequential order:providing a series of frames;determining the value of each pixel at each location within each frame to form a pixel value array for each frame;summing the pixel values in each frame to obtain the frame intensity for each frame;computing the average frame intensity for the series of frames;determining the frame intensity deviation for each frame by subtracting the average frame intensity for the series of frames from the frame intensity for each frame;determining an array of average pixel values for the series of frames;determining the deviations from the array of average pixel values for each pixel in each frame by subtracting the array of average pixel values from the pixel value arrays to determine positive or negative pixel deviation values;grouping all frames in a first group that have a positive frame intensity deviation;for all frames in the first group, selecting ...

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Номер записи: 84
06-02-2014 дата публикации

ROW AND COLUMN NOISE REDUCTION IN THERMAL IMAGES

Номер: US20140037225A1
Автор: Boulanger Pierre, Hoelter Theodore R., Högasten Nicholas, Ingerhed Malin, Kurth Eric A., Nussmeier Mark, Sharp Barbara, Strandemar Katrin
Принадлежит: FLIR SYSTEMS, INC.

Methods and systems are provided to reduce noise in thermal images. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device. The image frame may be processed to determine a plurality of column correction terms, each associated with a corresponding one of the columns and determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns. In another example, the image frame may be processed to determine a plurality of non-uniformity correction terms, each associated with a corresponding one of the pixels and determined based on relative relationships between the corresponding one of the pixels and associated neighborhood pixels within a selected distance. 1. A method comprising:receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns, wherein the pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device; andprocessing the image frame to determine a plurality of column correction terms to reduce at least a portion of the noise, wherein each column correction term is associated with a corresponding one of the columns and is determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns.2. The method of claim 1 , wherein the processing the image frame comprises:selecting one of the columns;for each pixel of the selected column, comparing the pixel to a corresponding plurality of neighborhood pixels in the neighborhood of columns;for each comparison, adjusting a first counter if the pixel of the selected column has a value greater than the compared neighborhood pixel;for each comparison, adjusting a second counter if the pixel of the selected column ...

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Номер записи: 85
20-02-2014 дата публикации

IDENTIFYING AND CORRECTING ANOMALIES IN AN OPTICAL IMAGE

Номер: US20140050416A1
Автор: CLIFTON David
Принадлежит: Optos Plc

An embodiment of the invention provides an apparatus and a method. An intensity gradient between first and second optical image data of an optical image produced by an optical scanning device is determined. The first optical image data is a first optical image pixel and the second optical image data is a second optical image pixel. An intensity gradient image comprising a plurality of intensity gradient image pixels is determined, each intensity gradient image pixel representing the magnitude of an intensity gradient. One or more anomalies in the optical image in dependence on the magnitude of the intensity gradient being greater than or equal to a threshold value is identified. 1. A method comprising:determining an intensity gradient between first optical image data and second optical image data of an optical image produced by an optical scanning device, wherein the first optical image data is a first optical image pixel and the second optical image data is a second optical image pixel;determining an intensity gradient image comprising a plurality of intensity gradient image pixels, each intensity gradient image pixel of the plurality of intensity gradient image pixels representing a magnitude of the intensity gradient; andidentifying one or more anomalies in the optical image in dependence on the magnitude of the intensity gradient being greater than or equal to a threshold value.2. The method according to further comprising correcting the one or more anomalies in the optical image in dependence on the magnitude of the intensity gradient.3. The method according to wherein the first optical image pixel and the second optical image pixel are adjacent.4. The method according to wherein the intensity gradient is a first order differential.5. The method according to wherein the intensity gradient comprises a difference between an intensity of the first optical image pixel and an intensity of the second optical image pixel.6. The method according to wherein the ...

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Номер записи: 86
27-02-2014 дата публикации

REDUCING DIGITAL IMAGE NOISE

Номер: US20140056537A1
Автор: Garg Sanjay, MUNI Byas, Srinivasan Sujith
Принадлежит: MARVELL WORLD TRADE LTD.

Devices, systems, methods, and other embodiments associated with reducing digital image noise are described. In one embodiment, a method includes filtering a digital image with a plurality of adaptive filters, wherein the plurality of adaptive filters include a first filter configured to filter noise surrounding one or more edges in the digital image, and a second filter configured to filter noise caused by a block based encoding of the digital image. The method further includes reducing a compression artifact from selected pixels in the digital image, wherein the compression artifact is reduced by (i) combining an output from the first filter and an output from the second filter in response to the digital image being determined to be blocky, and (ii) not combining the output from the first filter with the output of the second filter in response to the digital image not being determined to be blocky. 1. A method , comprising: a first filter configured to filter noise surrounding one or more edges in the digital image, and', 'a second filter configured to filter noise caused by a block-based encoding of the digital image; and, 'filtering a digital image with a plurality of adaptive filters, wherein the plurality of adaptive filters include'} (i) combining an output from the first filter and an output from the second filter in response to the digital image being determined to be blocky, and', '(ii) not combining the output from the first filter with the output of the second filter in response to the digital image not being determined to be blocky., 'reducing a compression artifact from selected pixels in the digital image, wherein the compression artifact is reduced by'}2. The method of claim 1 , wherein the first filter is configured to filter noise surrounding one or more edges in the digital image by determining mosquito noise values for pixels from the digital image claim 1 , wherein the mosquito noise values are determined by:detecting an edge in the digital ...

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Номер записи: 87
06-03-2014 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20140064606A1
Автор: Doba Kentaro, KOMORIYA Yota
Принадлежит: SONY CORPORATION

There is provided an image processing apparatus including a difference value calculation section which associates, with each other on a tone basis, histograms indicating a number of pixels per tone in a left-eye image and a right-eye image, respectively, the left-eye image and the right-eye image being components of a stereoscopic image, which calculates a difference value between the left-eye image and the right-eye image on the associated tone basis, and which smooths the calculated difference value among tones, and a correction section which corrects the left-eye image or the right-eye image based on the smoothed tone-basis difference value. 1. An image processing apparatus comprising:a difference value calculation section which associates, with each other on a tone basis, histograms indicating a number of pixels per tone in a left-eye image and a right-eye image, respectively, the left-eye image and the right-eye image being components of a stereoscopic image, which calculates a difference value between the left-eye image and the right-eye image on the associated tone basis, and which smooths the calculated difference value among tones; anda correction section which corrects the left-eye image or the right-eye image based on the smoothed tone-basis difference value.2. The image processing apparatus according to claim 1 ,wherein the difference value calculation section performs regional division on each of the left-eye image and the right-eye image, calculates the difference value on a basis of divided regions corresponding to each other in the left-eye image and the right-eye image, and smooths, among the tones and on the divided region basis, the difference value calculated on the divided region basis, andwherein the correction section corrects the left-eye image or the right-eye image on the divided region basis.3. The image processing apparatus according to claim 2 ,wherein the difference value calculation section further smooths the smoothed tone-basis ...

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Номер записи: 88
06-03-2014 дата публикации

MULTI-SCALE ADAPTIVE FUSION WITH CONTRAST NORMALIZATION

Номер: US20140064636A1
Автор: BURT PETER JEFFREY, van der Wal GOOITZEN SIEMAN, Zhang Chao
Принадлежит: SRI INTERNATIONAL

A computer implemented method for fusing images taken by a plurality of cameras is disclosed, comprising the steps of: receiving a plurality of images of the same scene taken by the plurality of cameras; generating Laplacian pyramid images for each source image of the plurality of images; applying contrast normalization to the Laplacian pyramids images; performing pixel-level fusion on the Laplacian pyramid images based on a local salience measure that reduces aliasing artifacts to produce one salience-selected Laplacian pyramid image for each pyramid level; and combining the salience-selected Laplacian pyramid images into a fused image. Applying contrast normalization further comprises, for each Laplacian image at a given level: obtaining an energy image from the Laplacian image; determining a gain factor that is based on at least the energy image and a target contrast; and multiplying the Laplacian image by a gain factor to produce a normalized Laplacian image. 1. A method for fusing images comprising:generating Laplacian pyramid images from a plurality of images of the same scene captured by an image sensing device, by generating a Gaussian pyramid for at least one of the plurality of images and applying noise coring to said Gaussian pyramid;applying contrast normalization to the Laplacian pyramids images;performing pixel-level fusion on the Laplacian pyramid images to produce a set of salience-selected Laplacian pyramid images corresponding to a set of puramid levels; andcombining the salience-selected Laplacian pyramid images into a fused image.2. The method of further comprising performing the pixel level fusion based on a local salience measure that reduces aliasing artifacts.3. The method of wherein performing pixel-level fusion further comprises claim 1 , for each level of the Laplacian pyramid images:corresponding to each of the plurality of received images:passing a Laplacian pyramid image through a filter for averaging each pixel with surrounding pixels; ...

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Номер записи: 89
13-03-2014 дата публикации

APPARATUS AND METHOD FOR ESTIMATING NOISE

Номер: US20140071156A1
Автор: KIM Seung-Gu, LEE Hyun-seung, PARK Se-hyeok
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

A noise estimation apparatus and method to prevent texture from being erroneously determined as noise, is provided. To this end, the noise estimation method includes generating an initial noise map for an input image signal, generating at least one noise map based on a temporal change of an image signal continuing from the image signal, calculating a correlation value for each region between the initial noise map and the noise maps, and determining noise of an image according to a temporal change based on the correlation value. 1. A noise estimation method comprising:generating an initial noise map for an input image signal;generating at least one noise map based on a first temporal change of an image signal continuing from the input image signal;calculating a correlation value for each region between the initial noise map and the at least one noise map; anddetermining noise of an image according to a second temporal change based on the correlation value.2. The noise estimation method of claim 1 , further comprising adjusting a strength of noise for each region based on a result of the noise determination.3. The noise estimation method of claim 1 , wherein the initial noise map is determined by:{'br': None, 'sub': n', 'n', 'NR,n, 'i': =Y', '−Y, 'Map,'}{'sub': n', 'NR,n', 'n, 'sup': th', 'th, 'where Mapindicates a noise map of an nframe, and Yindicates a noise-cancellation result of the nframe, and Yindicates an image which has not yet been noise-canceled.'}6. The noise estimation method of claim 1 , wherein the determining of the noise of the image comprises:comparing the correlation value with a threshold value;excluding a corresponding portion from the noise determination if the correlation value is less than the threshold value; anddetermining the corresponding portion as noise if the correlation value is greater than the threshold value.7. A noise estimation apparatus comprising:a noise map generator configured to generate an initial noise map for an input image ...

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Номер записи: 90
13-03-2014 дата публикации

CORRECTION OF SATURATION BANDING ARTIFACTS IN MAGNETIC RESONANCE IMAGING

Номер: US20140072199A1
Автор: Apicella Tony, Dempsey James F., Nana Roger
Принадлежит:

Systems and methods for correcting saturation banding artifacts in magnetic resonance imaging in which artifact and reference calibration scans are used to create one dimensional or two dimensional correction profiles, which are subsequently applied to actual diagnostic imaging scans to correct the saturation banding artifacts. 114-. (canceled)15. A method for correcting saturation banding in magnetic resonance imaging comprising:acquiring at least one artifact calibration scan, with a timing that corresponds to that of an actual diagnostic imaging scan;acquiring at least one reference calibration scan, with a timing that corresponds to that of the actual diagnostic imaging scan;determining a mask of saturation bands in the at least one artifact calibration scan;dividing each voxel in the at least one reference calibration scan by each corresponding voxel in the at least one artifact calibration scan within the extent of the mask to determine mask region correction values;assigning the mask region correction values to corresponding voxels in a two dimensional signal correction profile, the corresponding voxels being within the extent of the mask, andassigning a preselected constant value to a plurality of voxels in the two dimensional signal correction profile, the plurality of voxels being outside of the extent of the mask;applying the two dimensional signal correction profile to the actual diagnostic imaging scan.16. The method of claim 15 , wherein applying the two dimensional signal correction profile comprisesmultiplying each of the voxels in the actual diagnostic imaging scan by a corresponding value in the two dimensional signal correction profile to obtain a corrected diagnostic image.17. The method of claim 15 , wherein determining the mask of saturation bands includes using a segmentation algorithm on the at least one artifact calibration scan.18. The method of claim 15 , wherein determining the mask of saturation bands includes determining locations of ...

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Номер записи: 91
13-03-2014 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20140072241A1
Автор: Matsuoka Masaaki
Принадлежит: CANON KABUSHIKI KAISHA

An image processing apparatus includes a correlation value map generation unit configured to generate a correlation value map by setting a target block, having a predetermined size and including a plurality of pixels, on a target image, and obtaining correlation values with a plurality of reference blocks corresponding to a target block set on a reference image different from the target image. The image processing apparatus also includes a detection unit configured to detect deviation between a reference block having a maximum correlation with the target block from the correlation value map, and the target block, as a motion vector of the target block, and a reliability evaluation unit configured to evaluate reliability of the motion vector by evaluating whether a distribution of correlation values whose correlation are local maximum is linear from the correlation value map. 1. An image processing apparatus comprising:a correlation value map generation unit configured to generate a correlation value map by setting a target block having a predetermined size and including a plurality of pixels, on a target image, and obtaining correlation values with a plurality of reference blocks corresponding to a target block set on a reference image different from the target image;a detection unit configured to detect deviation between a reference block having a maximum correlation with the target block from the correlation value map, and the target block, as a motion vector of the target block; anda reliability evaluation unit configured to evaluate reliability of the motion vector by evaluating whether a distribution of correlation values whose correlation are local maximum is linear from the correlation value map.2. The image processing apparatus according to claim 1 , wherein the reliability evaluation unit calculates a ratio of presence of the evaluation value within a predetermined range claim 1 , and evaluate the reliability of the motion vector based on the ratio.3. The ...

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Номер записи: 92
20-03-2014 дата публикации

APPARATUS AND METHOD FOR PROCESSING COLOR IMAGE USING DEPTH IMAGE

Номер: US20140079288A1
Автор: KIM SUN KWON, LEE Hee Sae, Lee Seung Kyu
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

An image processing apparatus and method using a depth image are provided. The image processing apparatus may include a region determination unit to determine a foreground region and a background region in a color image using a depth image, and a color compensation unit to compensate a color with respect to the foreground region and the background region. 1. An image processing apparatus comprising:a region determination unit to determine a foreground region and a background region in a color image using a depth image; anda color compensation unit to compensate a color with respect to the foreground region and the background region.2. The image processing apparatus of claim 1 , wherein the region determination unit determines the foreground region and the background region using a depth histogram related to a depth value of the depth image.3. The image processing apparatus of claim 1 , wherein the region determination unit determines a region having an approximate depth value of a person in the depth image to be the foreground region when the person is included in the color image.4. The image processing apparatus of claim 1 , wherein the region determination unit recognizes a face of a person included in the color image and determines a region having an approximate depth value of the face of the depth image to be the foreground region.5. The image processing apparatus of claim 1 , wherein the color compensation unit applies histogram equalization and white balance adjustment to the foreground region and/or the background region.6. The image processing apparatus of claim 5 , wherein the color compensation unit does not apply histogram equalization to the foreground region but applies histogram equalization to the background region differentially according to depth values of the background region.7. The image processing apparatus of claim 5 , wherein the color compensation unit compensates for color distortion of the background region using white balance extracted ...

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Номер записи: 93
20-03-2014 дата публикации

SYSTEMS AND METHODS FOR CORRECTING USER IDENTIFIED ARTIFACTS IN LIGHT FIELD IMAGES

Номер: US20140079336A1
Автор: Ciurea Florian, Venkataraman Kartik
Принадлежит: Pelican Imaging Corporation

Systems and methods for correction of user identified artifacts in light field images are disclosed. One embodiment of the invention is a method for correcting artifacts in a light field image rendered from a light field obtained by capturing a set of images from different viewpoints and initial depth estimates for pixels within the light field using a processor configured by an image processing application, where the method includes: receiving a user input indicating the location of an artifact within said light field image; selecting a region of the light field image containing the indicated artifact; generating updated depth estimates for pixels within the selected region; and re-rendering at least a portion of the light field image using the updated depth estimates for the pixels within the selected region. 1. A method for correcting artifacts in a light field image rendered from a light field obtained by capturing a set of images from different viewpoints and initial depth estimates for pixels within the light field using a processor configured by an image processing application and comprising:receiving a user input indicating the location of an artifact within said light field image;selecting a region of the light field image containing the indicated artifact;generating updated depth estimates for pixels within the selected region; andre-rendering at least a portion of the light field image using the updated depth estimates for the pixels within the selected region.2. The method of claim 1 , wherein the rendering of the light field image utilizes initial visibility information with respect to pixels in the light field and the method further comprises:generating updated visibility information for pixels within the selected region;wherein re-rendering at least a portion of the light field image further comprises using the updated visibility information for the pixels within the selected region.3. The method of claim 2 , further comprising:receiving a user input ...

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Номер записи: 94
27-03-2014 дата публикации

INFORMATION PROVIDING METHOD AND INFORMATION PROVIDING DEVICE

Номер: US20140085336A1
Автор: Suyama Shiro, YAMAMOTO Hirotsugu
Принадлежит:

The present invention provides a method for providing information and an apparatus for providing information with which information can be secretly displayed, and further, a display technique with a lot of sense of fun can attract keen interest from people around a display such as digital signage. 1. A method for providing information using an apparatus for providing information that displays information using a light array: comprisingswitching and displaying an information array and a concealment array in a cycle in which a person cannot sense an information display array of the information array using the apparatus for providing information, the information array including the information display array concerning information to be provided, the concealment array being generated so that the information display array becomes invisible when the concealment array overlaps with the information array; andintermittently blocking a visual field of the person so as to become asynchronous to a switching cycle in which the information array and the concealment array are switched and displayed.2. The method for providing information according to claim 1 , further comprising:switching and displaying the plurality of information arrays and the plurality of concealment arrays corresponding to the respective information arrays using the apparatus for providing information.3. The method for providing information according to claim 1 , further comprising:forming a complementary color relationship between a color of light of the information display array in the information array, and a color of light of an information concealment array overlapping with the information display array when the information array overlaps with the concealment array.4. The method for providing information according to claim 1 , wherein claim 1 , in the information array claim 1 , a difference in luminance between the information display array and a background array other than the information display array ...

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Номер записи: 95
27-03-2014 дата публикации

IMAGE EDITING DEVICE AND IMAGE EDITING METHOD

Номер: US20140086506A1
Автор: Ichikawa Manabu
Принадлежит: OLYMPUS IMAGING CORP.

An image editing device of the present invention replaces part of a first image that has been subjected to lossy compression with a second image, and comprises a image quality adjustment section for carrying out image quality conversion processing that is the same as image quality variation arising due to the lossy compression, and an editing section for carrying out editing processing using the second image that has been adjusted by the image quality adjustment section. 1. An image editing device , for replacing parts of a first image that has been subjected to lossy compression with a second image , comprising:an image quality adjustment section for performing image quality conversion processing, that is the same as image quality variation occurring due to the lossy compression, on the second image; andan editing section for carrying out editing processing using the second image that has been subjected to adjustment by the image quality adjustment section.2. The image editing device of claim 1 , whereinthe image quality adjustment section carries out the same processing as image variation due to quantization error arising from lossy compression.3. The image editing device of claim 1 , whereinthe image quality adjustment section carries out the lossy compression and expansion.4. The image editing device of claim 1 , whereinthe image quality adjustment section carries out low pass filter processing.5. An image editing device claim 1 , for editing a combined photographic image formed by combining a plurality of images claim 1 , comprises:a first image designation section for designating a single image from a plurality of images that make up the combined image;a second image designation section for designating a replacement image for replacing the image that has been designated by the first image designation section;an image compression processing section for subjecting an image to lossy compression with quantization table values that represent the combined ...

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Номер записи: 96
03-04-2014 дата публикации

METHOD AND APPARATUS FOR GENERATING IMAGE

Номер: US20140093134A1
Автор: PARK Byung-kwan, Song Tae-yong, Yi Jae-mock
Принадлежит:

A method and an apparatus for generating images are provided. The method includes generating a first sinogram for a state of an object from among states of the object based on a motion of the object, and a second sinogram for the states, based on data obtained from the object, and determining a region of interest (ROI) of the object based on the first sinogram. The method further includes extracting, from the second sinogram, third sinograms corresponding to the ROI, and estimating motion information of the ROI based on the third sinograms. The method further includes correcting the data based on the motion information. 1. A method of generating an image , the method comprising:generating a first sinogram for a state of an object from among states of the object based on a motion of the object, and a second sinogram for the states, based on data obtained from the object;determining a region of interest (ROI) of the object based on the first sinogram;extracting, from the second sinogram, third sinograms corresponding to the ROI;estimating motion information of the ROI based on the third sinograms; andcorrecting the data based on the motion information.2. The method of claim 1 , further comprising:comparing sinograms corresponding to different states of the object from among the states, from among the third sinograms, to estimate the motion information.3. The method of claim 1 , further comprising:extracting, from the third sinograms, an eleventh sinogram corresponding to a first state of the object from among the states, and comprising a first coordinate value in a third direction;extracting, from the third sinograms, a twelfth sinogram corresponding to a second state of the object from among the states, and comprising the first coordinate value; andcomparing the eleventh sinogram with the twelfth sinogram to estimate first motion information of the ROI in a first direction and a second direction.4. The method of claim 3 , further comprising:obtaining, from the ...

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Номер записи: 97
10-04-2014 дата публикации

Dynamic Image Reconstruction with Tight Frame Learning

Номер: US20140097845A1
Автор: Liu Jun, Mueller Edgar, Nadar Mariappan, Wang Qiu, Zenge Michael
Принадлежит:

A computer-implemented method for learning a tight frame includes acquiring undersampled k-space data over a time period using an interleaved process. An average of the undersampled k-space data is determined and a reference image is generated based on the average of the undersampled k-space data. Next, a tight frame operator is determined based on the reference image. Then, a reconstructed image data is generated from the undersampled k-space data via a sparse reconstruction which utilizes the tight frame operator. 1. A computer-implemented method for reconstructing an image based on a learned tight frame , the method comprising:acquiring undersampled k-space data over a time period using an interleaved process;determining an average of the undersampled k-space data;generating a reference image based on the average of the undersampled k-space data;determining a tight frame operator based on the reference image; andgenerating a reconstructed image data from the undersampled k-space data via a sparse reconstruction which utilizes the tight frame operator.2. The method of claim 1 , wherein the interleaved process samples lines of k-space data at a predetermined sampling rate.3. The method of claim 1 , wherein the average of the undersampled k-space data is determined in a temporal direction based on the time period.4. The method of claim 1 , wherein generating the reference image based on the average of the undersampled k-space data comprises:applying a Fourier transformation to the average of the undersampled k-space data.5. The method of claim 1 , wherein determining a tight frame operator based on the reference image comprises:determining a reference vector based on the reference image;initializing one or more tight frame filters using an existing tight frame system; and defining an analysis operator based on the tight frame filters,', 'determining a coefficient vector comprising a plurality of tight frame coefficients by applying the analysis operator to the ...

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Номер записи: 98
10-04-2014 дата публикации

IMAGING METHODS AND COMPUTER-READABLE MEDIA

Номер: US20140099007A1
Автор: Bumb Ambika, Neuman Keir Cajal, Sarkar Susanta Kumar
Принадлежит:

One aspect of the invention provides an imaging method including: (a) acquiring a first fluorescent image of an object of interest impregnated with fluorescent nanodiamonds; (b) applying a magnetic field to the fluorescent nanodiamonds in order to decrease fluorescence of the fluorescent nanodiamonds; (c) acquiring a second fluorescent image of the object of interest; and (d) subtracting the second fluorescent image from the first fluorescent image to produce a resulting image. Another aspect of the invention provides an imaging method including: (a) applying a time-varying magnetic field to an object of interest impregnated with fluorescent nanodiamonds to modulate the fluorescence of the fluorescent nanodiamonds; (b) acquiring a plurality of fluorescent images of the object of interest; and (c) for each corresponding pixel in the plurality of fluorescent images, calculating a fluorescence intensity using a lock-in technique. 1. An imaging method comprising:(a) acquiring a first fluorescent image of an object of interest impregnated with fluorescent nanodiamonds;(b) applying a magnetic field to the fluorescent nanodiamonds in order to decrease fluorescence of the fluorescent nanodiamonds;(c) acquiring a second fluorescent image of the object of interest; and(d) subtracting the second fluorescent image from the first fluorescent image to produce a resulting image.2. The method of claim 1 , wherein the object of interest is a biological target.3. The method of claim 1 , wherein the second fluorescent image is acquired during application of the magnetic field.4. The method of claim 1 , wherein step (d) is performed on a pixel-by-pixel basis.5. The method of claim 1 , further comprising:(e) repeating steps (a)-(d) a plurality of times and averaging the resulting images.6. The method of claim 5 , wherein the plurality of times is greater than 10.7. The method of claim 1 , wherein steps (a) and (c) include applying an absorption wavelength to the object of interest.8. A ...

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Номер записи: 99
02-01-2020 дата публикации

RELIABILITY DETERMINATION OF ELECTRODE LOCATION DATA

Номер: US20200001048A1
Автор: Cohen Stavit, Oren Eitan, Rybnikov Silvina, Shlain Adar, Sudarsky Oded, YORESH MAXIM, Zaslavky Alexander
Принадлежит:

Embodiments of the present disclosure include a system for determining an error associated with an electrode disposed on a medical device. The system comprises a processor and a memory storing instructions on a non-transitory computer-readable medium. The instructions are executable by the processor to receive an electrode signal from the electrode disposed on the medical device. The instructions are further executable by the processor to receive a plurality of other electrode signals from a plurality of other electrodes disposed on the medical device. The instructions are further executable by the processor to determine that the electrode signal received from the electrode disposed on the medical device is an outlier in relation to the plurality of other electrode signals from the plurality of other electrodes disposed on the medical device, based on a comparison between the electrode signal and the plurality of other electrode signals. 1. A system for determining an error associated with an electrode disposed on a medical device , the system comprising:a processor; and receive an electrode signal from the electrode disposed on the medical device;', 'receive a plurality of other electrode signals from a plurality of other electrodes disposed on the medical device; and', 'determine that the electrode signal received from the electrode disposed on the medical device is an outlier in relation to the plurality of other electrode signals from the plurality of other electrodes disposed on the medical device, based on a comparison between the electrode signal and the plurality of other electrode signals., 'a memory storing instructions on a non-transitory computer-readable medium, wherein the instructions are executable by the processor to2. The system of claim 1 , wherein the determination that the electrode signal received from the electrode disposed on the medical device is an outlier includes a determination that an impedance associated with the electrode signal is ...

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Номер записи: 100