DEPTH FUSION METHOD AND APPARATUS USING THE SAME

A depth fusion method adapted for a 2D-to-3D conversion image processing apparatus is provided. The depth fusion method includes the following steps. Respective motion-based depths of a plurality of blocks in an image frame are obtained. An original image-based depth of each of the blocks is obtained. The original image-based depth of each of the blocks is converted to obtain a converted image-based depth of each of the blocks. The motion-based depth and the converted image-based depth of each of the blocks are fused block by block to obtain a fusion depth of each of the blocks. Furthermore, a depth fusion apparatus is also provided. 1. A depth fusion method , adapted for a 2D-to-3D conversion image processing apparatus , the depth fusion method comprising:obtaining respective motion-based depths of a plurality of blocks in an image frame;obtaining an original image-based depth of each of the blocks;converting the original image-based depth of each of the blocks to obtain a converted image-based depth of each of the blocks; andfusing, block by block, the motion-based depth and the converted image-based depth of each of the blocks to obtain a fusion depth of each of the blocks.2. The depth fusion method according to claim 1 , wherein the step of converting the original image-based depth of each of the blocks to obtain the converted image-based depth of each of the blocks is performed according to a difference between a local motion vector of each of the blocks and a global motion vector of the image frame.3. The depth fusion method according to claim 1 , wherein the step of obtaining the motion-based depths of the blocks comprises:obtaining a local motion vector of each of the blocks;calculating a global motion vector of the image frame according to the local motion vector of each of the blocks;calculating a motion difference between the local motion vector of each of the blocks and the global motion vector, so as to generate a plurality of relative motion vectors; ...

THREE-DIMENSION IMAGE PROCESSING METHOD AND A THREE-DIMENSION IMAGE DISPLAY APPARATUS APPLYING THE SAME

A three-dimension (3D) image processing method is disclosed. A plurality of asymmetric filtering is performed on an input depth map to obtain a plurality of asymmetric filtering results. One among the asymmetric filtering results is selected as an output depth map. A two-dimension (2D) image is converted into a 3D image according to the output depth map. 1. A three-dimension (3D) image processing method , comprising:performing a plurality of asymmetric filtering on an input depth map to obtain a plurality of asymmetric filtering results;selecting one among the asymmetric filtering results as an output depth map; andconverting a two-dimension (2D) image into a 3D image according to the output depth map.2. The 3D image processing method according to claim 1 , wherein claim 1 , the input depth map is inputted to a plurality of asymmetric low-pass filters to obtain the asymmetric filtering results.3. The 3D image processing method according to claim 2 , wherein claim 2 , the asymmetric low-pass filters are horizontally mirrored to each other.4. The 3D image processing method according to claim 3 , wherein claim 3 ,with respect to a central point, the asymmetric low-pass filters are not symmetric around the central point;a right half part of one of the asymmetric low-pass filters and a left half part of another one of the asymmetric low-pass filters are symmetric around the central point; anda left half part of the one of the asymmetric low-pass filters and a right half part of the another one of the asymmetric low-pass filters are symmetric around the central point.5. The 3D image processing method according to claim I wherein claim 3 , the larger one among the asymmetric filtering results is selected as the output depth map.6. A 3D image processing apparatus claim 3 , comprising:a depth map processing unit for performing a plurality of asymmetric filtering on an input depth map to obtain a plurality of asymmetric filtering results, and selecting one among the ...

IMAGE PROCESSING CIRCUIT AND IMAGE PROCESSING METHOD

An image processing circuit and an image processing method are provided. The image processing circuit comprises a full search engine and a frame rate conversion (FRC) engine. The full search engine executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to the reference image and the current image. The FRC engine analyzes a scene characteristic from the current image according to SAD distribution. The FRC engine adjusts at least one of the control parameters according to the scene characteristic. The FRC engine generates an interpolated image according to the reference image, the current image and the control parameters. 1. An image processing circuit , comprising:a full search engine, which executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to a reference image and a current image, wherein the SAD distribution comprises a plurality of sums of absolute differences; anda frame rate conversion (FRC) engine, which generates an interpolated image according to the reference image, the current image and a plurality of the control parameters, wherein the FRC engine determines whether the number of sums of absolute differences larger than the smallest threshold is equal to 1 when partial of the sums of absolute differences is smaller than the smallest threshold, the current image comprises a good scene when the number of sums of absolute differences is equal to 1, the current image comprises a periodic scene when the number of sums of absolute differences is larger than 1, the FRC engine determines whether the sum of absolute differences is larger than an average pixel level (APL) when the sum of absolute differences is not smaller than the smallest threshold, the current image comprises a flash scene when the sum of absolute differences is larger than the APL, the current image comprises a bad scene when the sum of absolute differences is not larger than the APL, and the FRC engine ...

Image processing apparatus and image fine-tuning method thereof

An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.

System on Chip, Multi-media Display System and Power Supply Method thereof

The present invention discloses a system on chip (SOC), a multimedia playback system, and a power supply method thereof. The SOC comprises a normal block, a standby block, and a monitoring block. 1. A system on chip (SOC) , comprising:a normal block, powered by a normal power supply;a standby block, powered by a standby power supply; anda monitoring block, powered by a monitoring power supply, wherein the normal block, the standby block, and the monitoring block are powered independently.2. The SOC of claim 1 , wherein the monitoring power supply is irrelevant to the normal power supply and the standby power supply.3. The SOC of claim 1 , wherein when the SOC is in a standby status claim 1 , the normal block does not operate claim 1 , the normal power supply is turned off claim 1 , the standby block operates and is powered by the standby power supply claim 1 , and the monitoring block selectively operates and is powered by the monitoring power supply.4. The SOC of claim 1 , wherein when the SOC is in a start-up status claim 1 , the normal block operates and is powered by the normal power supply claim 1 , the standby block operates and is powered by the standby power supply claim 1 , and the monitoring block selectively operates and is powered by the monitoring block.5. A multimedia playback system claim 1 , comprising: a normal block, powered by a normal power supply and operating, according to a first control signal;', 'a standby block, continuously powered by a standby power supply and operating; and', 'a monitoring block, powered by a monitoring power supply and operating;, 'a system on chip (SOC), comprisinga display device, coupled to the normal block and jointly powered by the normal power supply, for displaying images;a standby device, coupled to the standby block and jointly powered by the standby power supply, for generating the first control signal; anda monitoring system, coupled to the monitoring block and jointly powered by the monitoring power supply, ...

MULTIMEDIA DEVICE AND PLAY MODE DETERMINATION METHOD OF THE SAME

A multimedia device and a play mode determination method of the same are provided. The multimedia device includes a frame difference calculation unit, a global threshold determination unit and a play mode determination unit. The frame difference calculation unit calculates the frame difference between two continuous frames to obtain a global variation. The global threshold determination unit determines a film mode threshold corresponding to a film mode and a video mode threshold corresponding to a video mode according to a current frame of the two frames and a previous global variation, and selects a global threshold from the film mode threshold and the video mod threshold. The selected threshold is smaller than the film mode threshold. The play mode determination unit compares the global variation with the global threshold, and enables the multimedia device to enter one of the film mode and the video mode according to the comparison result.

IMAGE PROCESSING APPARATUS AND METHOD THEREOF

An image processing method is disclosed. A 2D image is virtually divided into a plurality of blocks. With respect to each block, an optimum contrast value and a corresponding focus step are obtained. An object distance for an image in each block is obtained according to the respective focus step of each block. A depth map is obtained from the object distances of the blocks. The 2D image is synthesized to form a 3D image according to the depth map. 1. An image processing method , comprising:dividing a 2D image into a plurality of blocks;obtaining an optimum contrast value and a corresponding focus step with respect to each block;obtaining a respective object distance of an image in each block according to the respective focus step of each block;obtaining a depth map from the respective object distances of the blocks; andsynthesizing the 2D image to form a 3D image according to the depth map.2. The image processing method according to claim 1 , wherein claim 1 , the step of obtaining the respective optimum contrast value and the corresponding focus comprises:gradually adjusting the focus step with respect to the block to obtain a plurality of contrast values; andselecting a maximum value from the contrast values as the optimum contrast value.3. The image processing method according to claim 2 , further comprising:normalizing the contrast values.4. The image processing method according to claim 1 , wherein claim 1 ,obtaining the respective object distances of the images in the blocks based on the respective focus steps of the blocks by looking up a table.5. The image processing method according to claim 1 , wherein claim 1 ,the respective object distances are directly used as depth information of the depth map.6. An image processing apparatus claim 1 , comprising:a control unit;a lens moving unit coupled to the control unit;a capturing unit coupled to the control unit; anda lens moved by the lens moving unit;wherein, the control unit divides a 2D image into a plurality ...

METHOD FOR ADJUSTING MOVING DEPTHS OF VIDEO

A method for adjusting moving depths for a video is provided, which is adapted for 2D to 3D conversion. The method includes receiving a plurality of frames at a plurality time points and calculating a plurality of local motion vectors and a global motion vector in each of the frames. The method also includes determining a first difference degree between the local motion vectors and the global motion vector in the frames. The method further includes determining a second difference degree between a current frame and the other frames of the frames. The method also includes calculating a gain value according to the first difference degree and the second difference degree. The method further includes adjusting original moving depths of the current frame according to the gain value. Accordingly, a phenomenon of depth inversion can be avoided or mitigated.

METHOD FOR LOGO DETECTION IN MEMC

A method for detecting a static logo is provided. The method includes following steps. An edge detection is performed on each of a plurality of blocks to be detected in an image frame so as to obtain edge detection information. A motion estimation is performed on a plurality of blocks within a respective surrounding area of each of the blocks to be detected so as to obtain distribution information of motion vectors. Whether a logo is a static logo is determined according to the edge detection information and the distribution information of motion vectors. Accuracy of the logo detection can be increased by using the method. 1. A method for detecting a static logo , comprising:performing an edge detection on each of a plurality of blocks to be detected in an image frame, so as to obtain edge detection information;performing a motion estimation on a plurality of blocks within a respective surrounding area of each of the blocks to be detected, so as to obtain distribution information of motion vectors; anddetermining whether a logo to be detected in the image frame is a static logo according to the edge detection information and the distribution information of the motion vectors.2. The method for detecting the static logo as claimed in claim 1 , wherein the step of determining whether the logo to be detected is the static logo comprises:excluding the edge detection information of a moving direction parallel to that of each of the blocks to be detected.3. The method for detecting the static logo as claimed in claim 2 , wherein the step of determining whether the logo to be detected is the static logo comprises:excluding the edge detection information of a moving direction parallel to that of a moving object comprising the block to be detected.4. The method for detecting the static logo as claimed in claim 2 , wherein the step of determining whether the logo to be detected is the static logo comprises:determining whether magnitudes of the motion vectors of the plurality ...

IMAGE PROCESSING METHOD

An image processing method for processing an interleaved image is disclosed. A reference window and direction windows matched to the reference window are set with respect to known pixel rows in the interleaved image. First parameters along candidate directions of the reference window is calculated, wherein the first parameters denote pixel differences between the reference window and the direction windows. A respective first direction, among direction groups of the candidate directions and corresponding to a minimum of the first parameters, is found. First and/or second portion direction of first and second portions of the interleaved image are found among the first directions. The first and the second portions of the interleaved image are identified according to the first parameters. A center pixel of the reference window is obtained by interpolation according to the first and the second portion directions. 1. An image processing method for processing an interleaved image , comprising:setting a reference window and a plurality of direction windows matched the reference window with respect to a plurality of known pixel rows in the interleaved image;calculating a plurality of first parameters along all candidate directions of the reference window, wherein the first parameters denote pixel differences between the reference window and the direction windows;as for each of among a plurality of direction groups of the candidate directions, finding a respective first direction corresponding to a minimum of the first parameters for each direction group;finding a first portion direction of a first portion and/or a second portion direction of a second portion of the interleaved image among the first directions;identifying the first and the second portions of the interleaved image according to the first parameters; andobtaining a center pixel of the reference window by way of interpolation according to the first and the second portion directions.2. The method according to ...

Image processing circuit and image processing method for generating interpolated image

An image processing circuit and an image processing method are provided. The image processing circuit comprises a full search engine and a frame rate conversion (FRC) engine. The full search engine executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to the reference image and the current image. The FRC engine analyzes a scene characteristic from the current image according to SAD distribution. The FRC engine adjusts at least one of the control parameters according to the scene characteristic. The FRC engine generates an interpolated image according to the reference image, the current image and the control parameters.

Three-dimension image processing method and a three-dimension image display apparatus applying the same

A three-dimension (3D) image processing method is disclosed. A plurality of asymmetric filtering is performed on an input depth map to obtain a plurality of asymmetric filtering results. One among the asymmetric filtering results is selected as an output depth map. A two-dimension (2D) image is converted into a 3D image according to the output depth map.

MULTIMEDIA DEVICE AND MOTION ESTIMATION METHOD THEREOF

A motion estimation method is provided for generating a motion vector of a to-be-generated frame between two continuous reference frames. The method includes the following steps. A candidate motion vector is obtained according to the position of a to-be-generated block of a to-be-generated frame. Two first reference blocks are obtained from the two reference frames by extending the candidate motion vector from the to-be-generated block to the two reference frames, respectively. Two second reference blocks are obtained from the two reference frames by extending the candidate motion vector from one reference frame to another reference frame. Whether the candidate motion vector is valid is determined according to the positions of the two reference blocks obtained in each obtaining step. The corresponding motion vector of the to-be-generated block is determined according to the valid candidate motion vector. 1. A multimedia device for generating a motion vector of a to-be-generated frame between two continuous reference frames , wherein the multimedia device comprises:a motion vector obtaining unit for obtaining a candidate motion vector according to a position of a to-be-generated block in a to-be-generated frame; a first reference block obtaining circuit for obtaining two first reference blocks from the two reference frames by pointing the candidate motion vector from the to-be-generated block to the two reference frames;', 'a second reference block obtaining circuit for obtaining two second reference blocks from the two reference frames by pointing the candidate motion vector from one of the two reference frames to another one of the two reference frames; and', 'a validity verifying circuit for determining whether the candidate motion vector is valid according to positions of the two reference blocks obtained by each reference block obtaining circuit; and, 'a validity verifying unit, comprisinga motion vector determining unit for determining the corresponding motion ...

Device and method for 2D to 3D conversion

A device and method are provided for two dimension (2D) to three dimension (3D) conversion. A 2D to 3D conversion device receives a 2D image data. The 2D to 3D conversion device assigns position data of a predetermined window. The 2D to 3D conversion device generates a depth map including a depth data of the 2D image data according to the 2D image data and the position data of the predetermined window. The 2D to 3D conversion device converts the 2D image data into a 3D image data according to the depth data of the depth map and the position data of the predetermined window.

Multimedia device and play mode determination method of the same

A multimedia device and a play mode determination method of the same are provided. The multimedia device includes a frame difference calculation unit, a global threshold determination unit and a play mode determination unit. The frame difference calculation unit calculates the frame difference between two continuous frames to obtain a global variation. The global threshold determination unit determines a film mode threshold corresponding to a film mode and a video mode threshold corresponding to a video mode according to a current frame of the two frames and a previous global variation, and selects a global threshold from the film mode threshold and the video mod threshold. The selected threshold is smaller than the film mode threshold. The play mode determination unit compares the global variation with the global threshold, and enables the multimedia device to enter one of the film mode and the video mode according to the comparison result.

Virtual time control apparatus, method, and non-transitory computer readable storage medium thereof

A virtual time control apparatus, method, and non-transitory computer readable storage medium thereof are provided. The virtual time control apparatus includes a system timer, a real time clock, and a processing unit, wherein the processing unit is electrically connected to the system timer and the real time clock. The system timer has an original timer period, while the real time clock has an original tick period. The processing unit executes a hypervisor. The hypervisor generates a virtual timer period according to an adjustment ratio and the original timer period. The hypervisor generates a virtual tick period according to the adjustment ratio and the original tick period.

Image processing method for dynamically adjusting luminance and contrast of image

An image processing method for adjusting the luminance and contrast of an input image comprises the following steps. First, local spatial luminance statistics is performed on the first pixels of the input image to generate a luminance image including a plurality of second pixels. Then, from a preset mapping curve group comprising a plurality of smooth mapping curves, a corresponding smooth mapping curve is selected for each of the second pixels according to an adjusting function. Next, the pixel values of the second pixels are adjusted according to the corresponding smooth mapping curves to generate an adjusted image.

Stereoscopic Image Display Method, Stereoscopic Image Driving Method, and Stereoscopic Image Display System

A stereoscopic image display method for a liquid crystal display panel is disclosed. The stereoscopic image display method includes providing a stereoscopic image including a first image frame and a second image frame, displaying the first image frame on a plurality of first scan lines of a liquid crystal display panel and displaying a plurality of first black pixel data on a plurality of second scan lines of the liquid crystal display panel during a first frame period, and displaying the second image frame on the plurality of second scan lines of the liquid crystal display panel and displaying a plurality of second black pixel data on the plurality of first scan lines of the liquid crystal display panel during a second frame period. 1. A stereoscopic image display method , comprising:providing a stereoscopic image comprising a first image frame and a second image frame;displaying the first image frame on a plurality of first scan lines of a display panel and displaying a plurality of first black pixel data on a plurality of a second scan lines of the display panel during a first frame period; anddisplaying the second image frame on the plurality of second scan lines of the display panel and displaying a plurality of second black pixel data on the plurality of the first scan lines of the display panel during a second frame period.2. The stereoscopic image display method of claim 1 , wherein the step of displaying the first image frame on the plurality of first scan lines of the display panel and displaying the plurality of first black pixel data on the plurality of second scan lines of the display panel during the first frame period further comprises:outputting the first image frame to the plurality of first scan lines of the display panel during the first frame period, to display the first image frame on the plurality of first scan lines; andoutputting the plurality of first black pixel data to the plurality of second scan lines of the display panel during the ...

Multimedia device and motion estimation method thereof

A motion estimation method is provided for generating a motion vector of a to-be-generated frame between two continuous reference frames. The method includes the following steps. A candidate motion vector is obtained according to the position of a to-be-generated block of a to-be-generated frame. Two first reference blocks are obtained from the two reference frames by extending the candidate motion vector from the to-be-generated block to the two reference frames, respectively. Two second reference blocks are obtained from the two reference frames by extending the candidate motion vector from one reference frame to another reference frame. Whether the candidate motion vector is valid is determined according to the positions of the two reference blocks obtained in each obtaining step. The corresponding motion vector of the to-be-generated block is determined according to the valid candidate motion vector.

IMAGE PROCESSING APPARATUS AND IMAGE FINE-TUNING METHOD THEREOF

An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image. 1. An image processing apparatus , comprising:a high-pass filter performing filtering on an input image to generate a filtered image;a block comparator receiving the input image and a first image and performing a comparing operation between blocks of the input image and the first image to generate a block comparison result;an image data reconstructor coupled to the high-pass filter and the block comparator and the image data reconstructor generating image reconstruction data based on the block comparison result and the filtered image; anda calculator coupled to the image data reconstructor and the calculator performing an operation on the image reconstruction data and the input image to generate an output image,wherein the first image is generated according to the input image.2. The image processing apparatus according to claim 1 , further comprising:a resolution adjuster coupled to a path by which the high-pass filter receives the input image, wherein the resolution adjuster receives the input image and adjusts a resolution of the input image according to an adjustment parameter to generate the first image.3. The image processing apparatus according to claim 1 , wherein the first image and the input image are the same.4. The image processing apparatus according to claim 1 , wherein the high-pass filter is a digital filter comprising a plurality of taps and a ...

MULTIMEDIA DEVICE AND MOTION COMPENSATION METHOD THEREOF

A multimedia device and a motion compensation method thereof are provided for generating a middle frame between two frames. The multimedia device includes an interpolation unit, a linear process unit and a combination unit. The interpolation unit generates a first reference pixel data according to the relationship among a first pixel data, a second pixel data, and a third pixel data. The first and the second pixel data are obtained according to the location of a to-be-generated pixel and a relative motion vector. The third pixel data is obtained according to the two pixels data. The linear process unit provides a linear combination of the first and the second pixel data to generate a second reference pixel data. The combination unit combines the two reference pixel data according to the difference between the first and the second pixel data to generate a pixel data for the to-be-generated pixel.

Overdrive device

An overdrive device includes a training unit, an analysis unit and a Contrast adjustment unit. The training unit establishes a luminance difference look-up table (LUT) having an R 2 number of luminance differences. Each of the R 2 number of luminance differences represents a luminance difference between a measured display luminance value and a target luminance value of a display device when each of first and second viewing angle images correspond to any value of a grayscale range R. With respect to first and second viewing angle input image data, for pixel data therein corresponding to a same pixel position, the analysis unit looks up the luminance difference LUT to obtain a looked-up luminance difference, and accordingly calculates a luminance difference index. The contrast adjustment unit partially adjusts the grayscale of the second viewing angle image according to the luminance value index to obtain headroom for an overdrive operation.

Image processing device

An image processing device includes an image processing unit, an over-driving unit, and an up-sampler. The image processing unit receives a full-resolution 3D input image and outputs a half-resolution 3D image to a memory. The over-driving unit is coupled to the image processing unit and the memory for over-driving a current half-resolution 3D image outputted from the image processing unit according to a previous half-resolution 3D image stored in the memory. The up-sampler is selectively coupled to the over-driving unit for up-sampling an over-driven half-resolution 3D image outputted from the over-driving unit to output a full-resolution 3D output image.

OVERDRIVE DEVICE

An overdrive device includes a training unit, an analysis unit and a Contrast adjustment unit. The training unit establishes a luminance difference look-up table (LUT) having an R 2 number of luminance differences. Each of the R 2 number of luminance differences represents a luminance difference between a measured display luminance value and a target luminance value of a display device when each of first and second viewing angle images correspond to any value of a grayscale range R. With respect to first and second viewing angle input image data, for pixel data therein corresponding to a same pixel position, the analysis unit looks up the luminance difference LUT to obtain a looked-up luminance difference, and accordingly calculates a luminance difference index. The contrast adjustment unit partially adjusts the grayscale of the second viewing angle image according to the luminance value index to obtain headroom for an overdrive operation.

Data Processing Method and Digital Image Processing Device for Reducing Blocking Effect

A data processing method for a digital image processing device includes: acquiring an the intra-coded frame data and a predicted frame data; acquiring a first pixel value corresponding to a pixel in the intra-coded frame data; acquiring a second pixel value corresponding to the pixel in the predicted frame data; determining a third pixel value according to a first motion vector corresponding to the pixel in the intra-coded frame data and the first pixel value; determining a fourth pixel value according to a second motion vector corresponding to the pixel in the predicted frame data and the second pixel value; calculating an average of the first pixel value and the second pixel value, and accordingly generating a fifth pixel value; and determining a pixel value corresponding to the pixel in an interpolated frame data according to the third pixel value, the fourth pixel value and the fifth pixel value. 1. A data processing method for a digital image processing device , comprising:acquiring an the intra-coded frame data and a predicted frame data;acquiring a first pixel value corresponding to a pixel in the intra-coded frame data;acquiring a second pixel value corresponding to the pixel in the predicted frame data;determining a third pixel value according to a first motion vector corresponding to the pixel in the intra-coded frame data and the first pixel value;determining a fourth pixel value according to a second motion vector corresponding to the pixel in the predicted frame data and the second pixel value;calculating an average of the first pixel value and the second pixel value, and accordingly generating a fifth pixel value; anddetermining a pixel value corresponding to the pixel in an interpolated frame data according to the third pixel value, the fourth pixel value and the fifth pixel value.2. The data processing method of claim 1 , wherein the step of determining the pixel value corresponding to the pixel in the interpolated frame data according to the third ...

DEVICE AND METHOD FOR 2D TO 3D CONVERSION

A device and method are provided for two dimension (2D) to three dimension (3D) conversion. A 2D to 3D conversion device receives a 2D image data. The 2D to 3D conversion device assigns position data of a predetermined window. The 2D to 3D conversion device generates a depth map including a depth data of the 2D image data according to the 2D image data and the position data of the predetermined window. The 2D to 3D conversion device converts the 2D image data into a 3D image data according to the depth data of the depth map and the position data of the predetermined window. 1. A two dimension (2D) to three dimension (3D) conversion device , comprising:a data receiver used for receiving a 2D image data;a user interface used for assigning a position data of a predetermined window, the predetermined window demarcating an image range of the 2D image data;a depth map generator used for generating a depth map according to the 2D image data and the position data of the predetermined window, wherein the depth map comprises a depth data of the 2D image data; andan image converter used for converting the 2D image data into a 3D image data according to the depth data of the depth map and the position data of the predetermined window.2. The 2D to 3D conversion device according to claim 1 , further comprising:a multiplexer used for selectively outputting the 2D image data or the 3D image data under control of the user interface.3. The 2D to 3D conversion device according to claim 1 , wherein the depth map generator judges whether a portion of the 2D image data is within the predetermined window claim 1 , and generates a corresponding depth data according to the judgment.4. The 2D to 3D conversion device according to claim 3 , wherein if the portion of the 2D image data is judged as outside the predetermined window claim 3 , the depth map generator generates a predetermined depth data.5. The 2D to 3D conversion device according to claim 4 , wherein claim 4 , the predetermined ...

DEPTH GENERATION METHOD AND APPARATUS USING THE SAME

A depth generation method adapted for a 2D to 3D image conversion device is provided. The depth generation method includes the following steps. Motion vectors in an image frame are obtained by motion estimation. A global motion vector of the image frame is obtained. Motion differences between the motion vectors of each block and the global motion vector are calculated. A depth-from-motions of each block is obtained based on the motion differences. Furthermore, a depth generation apparatus using the same is also provided. 1. A depth generation method , adapted to a two-dimensional (2D) to three-dimensional (3D) image conversion device , the depth generation method comprising:obtaining a plurality of local motion vectors in an image frame by motion estimation;obtaining a global motion vector of the image frame;calculating motion differences between the local motion vectors and the global motion vector; andobtaining a depth-from-motion of each of the blocks according to the motion differences.2. The depth generation method as claimed in claim 1 , wherein the image frame comprises a black rim claim 1 , a peripheral display region and a central display region claim 1 , and the step of obtaining the global motion vector of the image frame comprises:calculating the global motion vector according to a plurality of the local motion vectors of the peripheral display region.3. The depth generation method as claimed in claim 2 , wherein the central display region covers a center of the image frame.4. The depth generation method as claimed in claim 2 , wherein the peripheral display region is located between the black rim and the central display region.5. The depth generation method as claimed in claim 2 , whereinthe peripheral display region comprises a plurality of sub regions, andthe step of obtaining the global motion vector of the image frame comprises:calculating a statistic number distribution of the local motion vectors in each of the sub regions;obtaining a local motion ...

METHOD FOR DETECTING BLACK RIM OF IMAGE FRAME AND IMAGE PROCESSING APPARATUS USING THE SAME

A method for detecting a black rim of an image frame is provided. The method includes following steps. Rim brightness information of a rim region of a current image frame is calculated. Frame brightness information of a frame region of the current image frame is obtained. A brightness threshold is calculated according to the rim brightness information and the frame brightness information. Whether a plurality of pixels in the rim region are black pixels is determined according to the brightness threshold. Furthermore, an image processing apparatus is also provided. 1. A method for detecting a black rim of an image frame , comprising:calculating rim brightness information of a rim region of a current image frame;obtaining frame brightness information of a frame region of the current image frame;calculating a brightness threshold according to the rim brightness information and the frame brightness information; anddetermining whether a plurality of pixels in the rim region are black pixels according to the brightness threshold.2. The method for detecting a black rim according to claim 1 , wherein the step of calculating the rim brightness information of the rim region of the current image frame comprises:calculating sub rim brightness information of one or more sub rim regions of the rim region; andcalculating the rim brightness information according to the sub rim brightness information of the one or more sub rim regions.3. The method for detecting a black rim according to claim 2 , wherein the step of calculating the sub rim brightness information of the sub rim regions comprises calculating one to plural of the following brightness values of each sub rim region: an average brightness value of each sub rim region claim 2 , a maximum brightness value of a plurality of regions of each sub rim region claim 2 , a minimum brightness value of the plurality of regions of each sub rim region and an average brightness value of one or more specific rows or one or more specific ...

IMAGE PROCESSING DEVICE

An image processing device includes an image processing unit, an over-driving unit, and an up-sampler. The image processing unit receives a full-resolution 3D input image and outputs a half-resolution 3D image to a memory. The over-driving unit is coupled to the image processing unit and the memory for over-driving a current half-resolution 3D image outputted from the image processing unit according to a previous half-resolution 3D image stored in the memory. The up-sampler is selectively coupled to the over-driving unit for up-sampling an over-driven half-resolution 3D image outputted from the over-driving unit to output a full-resolution 3D output image. 1. An image processing device , comprising:an image processing unit, for receiving a full-resolution 3D input image and outputting a half-resolution 3D image to a memory;an over-driving unit coupled to the image processing unit and the memory, for over-driving a current half-resolution 3D image outputted from the image processing unit according to a previous half-resolution 3D image stored in the memory; andan up-sampler selectively coupled to the over-driving unit, for up-sampling an over-driven half-resolution 3D image outputted from the over-driving unit to output a full-resolution 3D output image.2. The image processing device according to claim 1 , further comprising:a switch unit coupled to the over-driving unit for bypassing a 2D image from the up-sampler.3. An image processing device claim 1 , comprising:an image processing unit, for receiving a full-resolution 3D input image and outputting a half-resolution 3D image to a memory;an up-sampler group selectively coupled to the image processing unit and the memory, for up-sampling a current half-resolution 3D image outputted from the image processing unit and a previous half-resolution 3D image outputted from the memory, respectively to obtain a current full-resolution 3D image and a previous full-resolution 3D image respectively; andan over-driving unit ...

IMAGE PROCESSING METHOD

An image processing method is for subsampling a plurality of pixels of a frame. Related information about how subsample is applied to the pixels is generated. The pixels are subsampled so that respective numbers of bits of luminance components of the pixels are higher that respective numbers of bits of chroma components. 1. An image processing method for subsampling a plurality of pixels of a frame , comprising:generating information relevant to subsampling the pixels; andsubsampling the pixels, so that bits of luminance components of the pixels are higher than bits of chroma components of the pixels.2. The image processing method according to claim 1 , wherein claim 1 , the generation step comprises:analyzing at least one uniqueness parameter of one of the pixels; andobtaining a blending ratio between the pixel and at least one adjacent pixel according to the uniqueness parameter.3. The image processing method according to claim 2 , wherein claim 2 , the step of analyzing the uniqueness parameter comprises:obtaining a uniqueness parameter of the pixel according to a luminance component of the pixel and a luminance component of the adjacent pixel.4. The image processing method according to claim 3 , wherein claim 3 , the step of obtaining the blending ratio comprises:applying non-linear normalization to the blending ratio.5. The image processing method according to claim 4 , wherein claim 4 , the step of subsampling the pixel comprises:subsampling the pixel according to the blending ratio, the luminance component of the pixel and the luminance component of the adjacent pixel.6. The image processing method according to claim 2 , further comprising:discarding the adjacent pixel.7. An image processing method for processing a plurality of pixels of a frame claim 2 , bits of luminance components of the pixels higher than bits of chroma components of the pixels claim 2 , the image processing method comprising:upsampling the pixels according to information relevant to ...

Virtual time control apparatus, method, and non-transitory computer readable storage medium thereof

A virtual time control apparatus, method, and non-transitory computer readable storage medium thereof are provided. The virtual time control apparatus includes a system timer, a real time clock, and a processing unit, wherein the processing unit is electrically connected to the system timer and the real time clock. The system timer has an original timer period, while the real time clock has an original tick period. The processing unit executes a hypervisor. The hypervisor generates a virtual timer period according to an adjustment ratio and the original timer period. The hypervisor generates a virtual tick period according to the adjustment ratio and the original tick period.

IMAGE PROCESSING METHOD FOR DYNAMICALLY ADJUSTING LUMINANCE AND CONTRAST OF IMAGE

An image processing method for adjusting the luminance and contrast of an input image comprises the following steps. First, local spatial luminance statistics is performed on the first pixels of the input image to generate a luminance image including a plurality of second pixels. Then, from a preset mapping curve group comprising a plurality of smooth mapping curves, a corresponding smooth mapping curve is selected for each of the second pixels according to an adjusting function. Next, the pixel values of the second pixels are adjusted according to the corresponding smooth mapping curves to generate an adjusted image.

Method for searching small moving object in dynamic image

一種搜尋移動小物體的方法，用於在相鄰的二影像圖框之間插入一插入影像圖框。此方法包括:選擇在該插入影像圖框中的一插入區域。選擇通過該插入區域預定的多個延伸方向。分別以該些延伸方向同時向二影像圖框交會，分析該些延伸方向是否符合相同影像物體移動的條件，且以對應的該延伸方向得到至少一移動向量。取得該第一影像圖框與該第二影像圖框之間的一全體移動向量。比較該至少一移動向量與該全體移動向量之間的一移動向量差異是否大於一設定值。如果該移動向量差異大於該設定值，則對應的該第一區域影像資料與該第二區域影像資料被視為一移動小物體。

Method for detecting black rim of image frame and image processing apparatus using the same

一種影像畫面的黑邊偵測方法，包括如下步驟。計算一目前影像畫面之一邊框區域之一邊框亮度資訊。獲得該目前影像畫面之一畫面區域之一畫面亮度資訊。依據邊框亮度資訊及畫面亮度資訊，計算一亮度臨界值。依據亮度臨界值，判斷邊框區域之多個畫素是否為黑畫素。另外，一種影像處理裝置亦被提出。

仮想時間制御装置、仮想時間制御方法およびその非一時的コンピュータ可読記憶媒体

【課題】仮想時間制御装置、仮想時間制御方法およびその非一時的コンピュータ可読記憶媒体を提供すること。 【解決手段】仮想時間制御装置は、システムタイマ、リアル・タイム・クロックおよび処理装置を備え、処理装置は、システムタイマおよびリアル・タイム・クロックに電気的に接続される。システムタイマは、独自のタイマ期間を有し、一方、リアル・タイム・クロックは独自のティック（ｔｉｃｋ）期間を有する。処理装置は、ハイパーバイザを実行する。ハイパーバイザは、調整比および独自のタイマ期間に従って仮想タイマ期間を生成する。ハイパーバイザは、調整比および独自のティック期間に従って仮想ティック期間を生成する。 【選択図】図２

虛擬時間控制裝置、方法及電腦程式產品

一種虛擬時間控制裝置、方法及電腦程式產品。該虛擬時間控制裝置包含一系統計時器、一即時時鐘及一處理單元，其中該處理單元電性連接至該系統計時器及該即時時鐘。該系統計時器具有一原始計時週期，且該即時時鐘具有一原始對時訊號週期。該處理單元執行一虛擬平台，其中該虛擬平台依據一調整比例及該原始計時週期，產生一虛擬計時週期，且依據該調整比例及該原始對時訊號週期，產生一虛擬對時訊號週期。

固定圖案的邊緣偵測方法與電路

一種固定圖案的邊緣偵測方法，包括分析接收的一第一影像取得一第一邊緣資訊；接收一第二影像以及對應的一第二邊緣資訊，該第二影像包含影像歷史資訊的累計；根據該第一邊緣資訊與該第二邊緣資訊，在該第一影像與該第二影像於對應位置的多對像素中計算一符合數量與一不符合數量，該符合數量代表有多少對像素其分別每一對的二個比對像素都是屬於一邊緣像素，該不符合數量是該二個比對像素其中一個不是屬於該邊緣像素；以及當該符合數量要大於一第一設定值，且該不符合數量要同時小於一第二設定值時，該第一影像與該第二影像有一固定圖案的一固定邊緣。

Multimedia device and play mode detection method of the same

二維轉三維轉換裝置及其方法

一種二維轉三維轉換裝置及其方法，二維轉三維轉換方法包括多個步驟。由二維轉三維轉換裝置接收二維影像的影像資料。由二維轉三維轉換裝置指定預定框的定位資料。預定框代表二維影像中的一個影像範圍。由二維轉三維轉換裝置依據二維影像的影像資料與預定框的定位資料產生深度圖。深度圖包含二維影像的深度資料。由二維轉三維轉換裝置依據深度圖的深度資料與預定框的定位資料，將二維影像的影像資料轉成三維影像的影像資料。

三維影像處理方法與應用其之三維影像顯示裝置

3D影像處理方法，包括：對一輸入深度圖進行複數個非對稱濾波，以得到複數個非對稱濾波結果；從該些非對稱濾波結果中，選擇以當成一輸出深度圖；以及根據該輸出深度圖，將一2D影像轉換成一3D影像。

三維立體顯示裝置及其方法

一種用於一三維立體顯示裝置之方法，包含有根據一使用者資訊，產生一偵測結果；根據該偵測結果、一顯示裝置資訊以及一舒適度模型，產生一視差範圍訊號；擷取一原始顯示訊號之一密度視差圖像訊號；根據該視差範圍訊號以及該密度視差圖像訊號，產生一調整視差圖像訊號；以及根據該調整視差圖像訊號以及該原始顯示訊號，輸出一調整顯示訊號，使該三維立體顯示裝置進行一三維立體顯示操作。

過驅動方法及其液晶顯示器

一種過驅動方法，用於一液晶顯示器中。該過驅動方法包含有將該液晶顯示器之一顯示區域分為複數個子顯示區域；以及根據該複數個子顯示區域於該顯示區域之位置，以複數個相對應過驅動表對該複數個子顯示區域進行過驅動；其中，該複數個過驅動表對應於複數個過驅動能力。

影像處理裝置與其方法

影像處理方法，包括：將一二維影像分割成複數個區塊；針對每一該些區塊，得到一各別最佳對比值與一對應聚焦步距；根據每一該些區塊之該各別聚焦步距，求得每一該區塊中之一各別影像之一各別物件距離；從該些區塊之該些物件距離得到一深度圖；以及根據該深度圖，從該二維影像合成出一三維影像。

過驅動裝置

一種過驅動(Overdrive)裝置，包括訓練單元、分析單元及對比調整單元。訓練單元建立亮度差值查表，其具有R2筆亮度差值，各R2筆亮度差值分別表示當第一及第二視角影像對應至灰階值範圍R中任一數值時，顯示器之實測顯示亮度值與目標亮度值間的亮度差值。分析單元根據第一及第二視角輸入影像資料中對應至相同畫素位置之畫素資料查詢亮度差值查表，以對應地找出一筆查詢亮度差值，並據以計算一筆亮度差值指標。對比調整單元根據亮度差值指標局部調整第二視角影像之灰階值，以爭取實現過驅動操作的操作空間(Headroom)。

Multimedia device and motion estimation method thereof