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50results about How to "Improve subjective and objective quality" patented technology
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Systems and methods for synthesizing high resolution images using super-resolution processes
ActiveUS20120147205A1Promote recoveryHigh resolutionImage enhancementTelevision system detailsProcess systemsImage resolution
Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image. In addition, each forward imaging transformation corresponds to the manner in which each imager in the imaging array generate the input images, and the high resolution image synthesized by the microprocessor has a resolution that is greater than any of the input images.
Owner:FOTONATION LTD
Systems and methods for synthesizing high resolution images using super-resolution processes
ActiveUS8878950B2Promote recoveryHigh resolutionTelevision system detailsImage enhancementProcess systemsImage resolution
Owner:FOTONATION LTD
Method for achieving video coding and decoding loop filtering
ActiveCN103220529AImprove subjective and objective qualityReduce complexityTelevision systemsDigital video signal modificationLoop filterCoding block
The invention relates to the technical field of multi-media video coding and decoding, in particular to a method for achieving video coding and decoding loop filtering. The method for achieving the video coding and decoding loop filtering includes the following steps that a division structure of image blocks is obtained through division of information through a coding and decoding end block, the loop filtering is conducted on block borders, if the block borders comprise the borders of a coding block, a forecasting block and a transforming block, border-level filtering decision-making is conducted through a mode, motion information, quantization parameters and residues, pixel-level filter is conducted at last, and the filtering direction can be perpendicular to the borders or can form other angels with the borders according to partial pixel characteristics or block modes. The method for achieving the video coding and decoding loop filtering has the advantages of being capable of improving subjective and objective quality of video coding, improving coding efficiency by 0.9% on reference software RD2.0-ADI of an implementation example AVS2.0, and meanwhile reducing the amount of filtering borders and complexity of a coding and decoding end.
Owner:PEKING UNIV
Learning-based low-bit-rate compression image super-resolution reconstruction method
ActiveCN103475876ASolve the problem of blocking artifactsImprove subjective and objective qualityTelevision systemsDistortionImage resolution
The invention discloses a learning-based low-bit-rate compression image super-resolution reconstruction method. The learning-based low-bit-rate compression image super-resolution reconstruction method comprises the steps: offline part: firstly compressing low-resolution images by adopting different compression mass parameter values; then filtering the compressed images, taking the quantizing distortion degrees of the filtered compressed images as characteristics, classifying the filtered LR images according to the distortion degrees and establishing a classified sample library, and performing super-resolution model training on all samples respectively. In an online part, the flowing steps are carried out: firstly, filtering input images, then judging a compression distortion class, selecting the sample library and the super-resolution model of the corresponding class according to the judgment result, so as to realize the learning-based super-resolution restoration. Compared with other algorithms, through using the method, the sample library can be self-adaptively regulated so as to match the input LR images according to different distortion degrees, the influence of blocking effect distortion on the super-resolution of the images can be effectively overcome, and compared with the method of directly performing super-resolution restoration on the low-bit-rate distortion images, the images reconstructed by adopting the method has high subjective and objective quality.
Owner:BEIJING UNIV OF TECH
Stereoscopic video macroblock loss error concealment method
ActiveCN103237226AImprove subjective and objective qualityTelevision systemsDigital video signal modificationParallaxTime domain
The invention discloses a stereoscopic video macroblock loss error concealment method. The stereoscopic video macroblock loss error concealment method includes firstly determining the lost macroblocks belong to a left boundary shielding area, a right boundary shielding area or a non-boundary shielding area; then classifying the lost macroblocks belonging to the non-boundary shielding area as motion macroblocks or static macroblocks according to motion and static features of the macroblocks; utilizing a human sight sensitivity feature of the macroblocks to classify the motion macroblocks as sensitive macroblocks and insensitive macroblocks; then utilizing texture and smooth features of the macroblocks to classify the sensitive macroblocks as texture macroblocks and smooth macroblocks; and utilizing manners of time domain compensation prediction, time domain frame copy, parallax compensation prediction, multi-direction interpolation and linear interpolation to restore the lost macroblocks, the static macroblocks, the insensitive macroblocks, the texture macroblocks and the smooth macroblocks. Since adaptive restoration strategies are adopted according to macroblocks with different features, subjective and objective quality of restored macroblocks are effectively improved.
Owner:NINGBO UNIV
Self-adaptive depth image coding method based on compressed sensing
InactiveCN103581687AImprove subjective and objective qualityDownsamplingDigital video signal modificationImage resolutionHigh probability
The invention provides a self-adaptive depth image coding method based on compressed sensing. The method includes the following steps that firstly, dot interlaced sampling with the down-sampling rate of 0.5 is carried out on a depth image; then, the edges of the depth image after the down-sampling process are extracted through a canny edge detector, and sampling rates are selected self-adaptively for image blocks according to different types of edge information; finally, the depth image is reconstructed with a high probability according to sampling values, and a depth image of which the resolution ratio equals an original resolution ratio is acquired through up-sampling.
Owner:北京交通大学长三角研究院
Method for concealing entire frame loss error of multi-view video
InactiveCN102572446AImprove subjective and objective qualityImprove accuracyTelevision systemsDigital video signal modificationTime domainPattern recognition
The invention discloses a method for concealing an entire frame loss error of multi-view video. The method comprises the following steps: prejudging the strength of the time domain relevance and the inter-view relevance of all image blocks in a lost frame so as to select a proper reference frame; recovering the image blocks in the lost frame by adopting different recovery methods; and performing hole area filling on an initial recovered frame obtained by recovery to obtain a final recovered frame of the lost frame. The method for concealing the entire frame loss error of the multi-view video has the advantages that the time domain relevance and the inter-view relevance are effectively utilized, and for the image blocks prejudged to have stronger time domain relevance in the lost frame, the image blocks are recovered by adopting a method of direct time domain copy, and thereby, not only can the computational complexity be reduced, but also the subjective and object quality of each recovered image block can be increased, whereas for the image blocks prejudged to have lower time domain relevance in the lost frame, the image blocks are recovered by adopting a method of inter-view predictive recovery, and thereby, the accuracy of recovering the image blocks can be effectively increased.
Owner:NINGBO UNIV
Boundary gradient based video stream fault tolerance method
InactiveCN101163250AImprove versatilityImprove subjective and objective qualityTelevision systemsDigital video signal modificationFault toleranceObjective quality
The invention proposes an audio current fault tolerance method based on border gradient. The method divides audio current into three grades: sequence, frame, and macro block. Different fault tolerance strategy is adopted according to the characteristics of the grammar elements in all grades. As for the sequence grade and the frame grade, fault tolerance should be implemented according to specific application environment, and the fault tolerance of the macro block grade are implemented by three steps: effective fault limitation, fault test of the lexeme and border gradient of a synthetic code current, and a self-adaptive fault hiding technology. The experiment results show that with the adoption of the audio current fault tolerance, the subjective and objective quality of the decoder restoring images is greatly improved.
Owner:BEIHANG UNIV
Local feature transformation based face super-resolution reconstruction method
ActiveCN103020940AQuality improvementImprove subjective and objective qualityImage enhancementMaximum a posteriori estimationImaging quality
The invention relates to a local feature transformation based face super-resolution reconstruction method. The method includes: performing nonnegative matrix decomposition for a low-resolution sample library matrix so as to obtain a local feature expression of a low-resolution image; transforming local features to a global feature space by the aid of a transformation relation between the local feature expression and a sample space reconstruction coefficient; as for the inputted low-resolution image, acquiring possessed features of the low-resolution image, then transforming to a sample space so as to obtain a global feature, and using a high-resolution sample library to substitute for a low-resolution sample library so as to obtain a high-resolution image; and using the high-resolution image obtained by reconstruction as an initial value, using a maximum posterior probability frame for iterative optimization of the inputted low-resolution image so that better image reconstruction quality is obtained. A global face super-resolution algorithm based on transformation of the image local features to the global feature is provided, detail representation capability of the global face algorithm is enhanced, and objective image quality of the reconstructed high-resolution image is improved.
Owner:NANJING BEIDOU INNOVATION & APPL TECH RES INST CO LTD
Improved sample adaptive offset filtering method based on histogram analysis
InactiveCN103647975AHigh precisionImprove objective qualityImage enhancementDigital video signal modificationCoding tree blockHistogram
Provided is an improved sample adaptive offset filtering method based on histogram analysis. The method comprises the steps of analyzing histogram distribution according to gray values of sample values in coding tree blocks of a reconstruction frame, classifying the coding tree blocks according to the histogram distribution, dividing adaptive sample offset filtering into a narrow coding tree block mode, a wide coding tree block mode, a double-center coding tree block mode and a default mode, respectively calculating the optimal rate distortion cost values under different classification modes, selecting the mode corresponding to the minimum rate distortion cost value as a truly-adopted band filtering mode and coding and transmitting a corresponding band starting position and an offset value. Three more accurate and more efficient filtering classification methods are newly added according to the characteristics of coding tree block histogram distribution so as to improve the accuracy of the sample adaptive offset filtering method, and the subjective and objective quality of videos can be effectively improved under the condition of same code rate.
Owner:ACAD OF BROADCASTING SCI SARFT +1
Method for hiding loss errors of three-dimensional video macro blocks
InactiveCN103220533AImprove subjective and objective qualityReduce computational complexityTelevision systemsDigital video signal modificationTime domainViewpoints
The invention discloses a method for hiding the loss errors of three-dimensional video macro blocks. According to the method, the motion and static states of the macro blocks in a lost frame are estimated by prejudging the magnitude of time domain relevance between adjacent time domain frames of the lost frame and adjacent frames among viewpoints, the macro blocks are classified into motion macro blocks and static macro blocks, and lost macro blocks are restored by adopting a direct time domain frame copying method specific to static macro blocks with high time domain relevance, so that the calculation complexity is low, and the subjective and objective quality of the type of lost macro blocks can be improved; and specific to the motion macro blocks, an optimal candidate macro block is selected from candidate macro blocks pointed by each vector in a candidate vector set of the lost macro blocks by adopting two boundary matching principles, optimally matched macro block recovery or multi-direction interpolation method recovery is adaptively selected according to the boundary distortion value of the optimal candidate macro block, so that the subjective and objective quality of the lost macro blocks moving vigorously can be improved, and a very good recovering effect can be achieved on the lost macro blocks positioned on the edge of an object.
Owner:NINGBO UNIV
Method and apparatus for improving call quality in noise environment
ActiveUS20200075038A1Improve call qualityAdapt to the environmentSpeech analysisSupervisory/monitoring/testing arrangementsNoiseSpeech sound
A voice signal processing method according to an embodiment of the present disclosure for overcoming the problem includes: acquiring a real-time near-end noise signal; acquiring a far-end voice signal according to an incoming call; measuring subjective speech quality and perceptual-objective speech quality of test signals generated based on a reference signal and the real-time near-end noise signal; selecting at least one speech quality enhancement method based on the subjective speech quality and the perceptual-objective speech quality, and determining parameters that are to be applied to the selected at least one speech quality enhancement method; and enhancing speech quality of the far-end voice signal by using the selected at least one speech quality enhancement method, based on the determined parameters, :herein the test signals are generated by mixing the acquired real-time near-end noise signal with the reference signal whose speech quality is enhanced by applying a combination of parameter values to speech quality enhancement methods.
Owner:SAMSUNG ELECTRONICS CO LTD
Motion forecast method based on rate-distortion optimization
InactiveCN1735212AImprove subjective and objective qualityGood rate-distortion optimization performanceTelevision systemsDigital video signal modificationRate distortionError diffusion
This invention discloses a motion prediction method based on rate distortion optimization, which comprises: coding end estimates the distortion value compared with original image that the decoding end rebuilds image after channel transmission, and the required bit number for coding motion information and estimating error during motion searching process; then it executes rate distortion optimization motion prediction process based on the said result. The invention can restrain the error diffusion and obtain well rate distortion optimization performance.
Owner:HUAWEI TECH CO LTD
High-definition video code rate control algorithm based on Sobel operator and linear regression
ActiveCN107257464AImprove subjective and objective qualitySmall bit rate errorDigital video signal modificationObjective qualityAlgorithm
Aiming at an HEVC video coding standard, the invention provides a high-definition video code rate control algorithm based on the Sobel operator and linear regression. The method mainly comprises the steps: finding an optimal initial QP (quantization parameter) for a coded first frame through a learned linear regression model, thereby enabling a coding process to quickly adapt to a set bandwidth; generating the intra-frame and inter-frame first-order gradient information through employing the Sobel operator, and then adaptively selecting optimal gradient information to replace coding complexity to serve as the weight of LCU layer bit distribution. The method enables the bit rate error to be lower, enables the output code rate to be more stable, and is better in subjective and objective quality of a video. An experiment result indicates that the method, compared with an HEVC standard code rate control scheme K0103, reduces the bit rate error by about 0.67%, and improves the peak SNR by about 0.44dB.
Owner:SICHUAN UNIV
DIBR method based on block projection
The invention discloses a DIBR method based on block projection. The method comprises the steps of firstly acquiring a color image of and a depth image of a reference viewpoint and vidicon geometrical parameters of two viewpoints, dividing a reference image into a plurality of block areas, carrying out projection change on each block area, finally integrating all block areas in a target viewpoint image, and repairing cavities to achieve a final target viewpoint image. The DIBR method doesn't directly use a point-by-point mode to carry out viewpoint change to generate new viewpoints, so that the target viewpoint image is prevented from being affected by the continuity of the depth image. Simulation experiments and actual data are utilized to compare the performance of a traditional method and the performance of the DIBR method based on the block projection to verify the effectiveness of the DIBR method. Furthermore, the target viewpoint drawing quality is improved, and the transmission bandwidth is reduced.
Owner:SOUTH CHINA UNIV OF TECH
Processing method for color aliasing and shadow part in three dimensional video virtual viewpoint synthesis
ActiveCN103747229AImprove subjective and objective qualityRemove distortionSteroscopic systemsViewpointsObjective quality
The invention belongs to the field of a 3D (three dimensional) video and relates to a processing method for a color aliasing and shadow part in three dimensional video virtual viewpoint synthesis. The method is realized by selectively mapping the color aliasing and shadow part corresponding to the left-right viewpoint depth map boundary part and judging whether the color aliasing and shadow part is remained or not. According to the method, the distortion of the synthesis virtual viewpoint boundary position caused by the color aliasing and shadow part is eliminated and the subjective quality and objective quality of the virtual viewpoints are improved.
Owner:SHENZHEN BEIDOU COMM TECH CO
Low-bit compressed image deblocking method based on visual sensitivity and spatial filtering
InactiveCN103905822AImprove subjective and objective qualityInadequacies of improved filteringDigital video signal modificationNeighbor relationCompression artifact
The invention relates to a low-bit compressed image deblocking method based on visual sensitivity and spatial filtering. The method includes the steps that an input distorted image is divided into a flat region, an edge region and a texture region according to visual sensitivity characteristics; then a Sobel operator is selected to extract gradient information of pixels of the image, a threshold value is set to enable the image to be divided into an edge region, a texture region and a flat region; the image is further divided into flat blocks, edge blocks and texture blocks; filtering is conducted on the blocks in different filtering modes, and finally block information obtained after filtering is integrated to obtain a processed image. According to the method, the human eye visual sensitivity characteristics are applied to classification of compressed distorted image texture, and the blocking effect in the image is subdivided into six types according to the neighboring relation of the texture blocks. The classification method is simple and effective, an appropriate filter can be selected specifically and easily to perform filtering processing on the blocking effect.
Owner:THE FIRST RES INST OF MIN OF PUBLIC SECURITY +1
HEVC code rate control method based on human vision region importance analysis
ActiveCN111447446AImprove subjective and objective qualityReduce bit rate deviationDigital video signal modificationTime domainAlgorithm
The invention provides an HEVC code rate control method based on human vision region importance analysis. A video inter-frame brightness difference value is used as a measurement mode of human eye vision time domain importance of each frame; according to the method, the spatial domain importance degree of the human vision of the current frame is measured by utilizing mean square gradient consistency calculation, and then a new regional level bit allocation method is provided by utilizing the proposed perception importance degree model so as to keep the balance of video quality. An LCU-level bit allocation scheme is then designed to obtain a target bit for each LCU. In order to obtain a more accurate bit rate, an improved R-lambda parameter updating model is used. According to the method, the final coding actual code rate can better meet the given target code rate. Meanwhile, the actual bit tends to be stable, and the human eye perception quality of the coded video is obviously improved.
Owner:NORTHWEST UNIVERSITY FOR NATIONALITIES
Optimized windows and methods therefore for gradient-descent based window optimization for linear prediction analysis in the ITU-T G.723.1 speech coding standard
ActiveUS7389226B2Speed up the processImprove subjective qualitySpeech analysisSpeech codePerceptual weighting
Primary and alternate optimization procedures are used to improve the ITU-T G.723.1 speech coding standard (the “Standard”) by replacing the Hamming window of the Standard with an optimized window, with two windows, or with two windows and an additional performance of an autocorrelation method. When two windows replace the Hamming window, at least one of which is an optimized window, generally the first is used to determine optimized unquantized LP coefficients which are used to define an optimized perceptual weighting filter, and the second is used to determine optimized unquantized LP coefficients which are used to determine optimized synthesis coefficients. Optimized windows created using the primary and alternate optimization procedures and used in the Standard yield improvements in the objective and subjective quality of synthesized speech produced by the Standard. The improved Standard, methods, and window can all be implemented as computer readable software code.
Owner:NTT DOCOMO INC
Device and method for realizing video denoising of embedded HEVC coding unit rapidly
ActiveCN107046648AImprove subjective and objective qualityReduce complexityDigital video signal modificationPattern recognitionObjective quality
The invention provides a device and method for realizing video denoising of an embedded HEVC coding unit rapidly. The method comprises the steps of determining a noise variance threshold value of a current frame image according to complexity distribution condition of each coding unit in a previous frame image; estimating noise variance of the current frame image according to the noise variance threshold value of the current frame image; calculating a filter coefficient of each conversion unit of the current frame image according to the noise variance of the current frame image; calculating a filter weight of a current conversion unit according to the noise variance of the current frame image; and calculating the filter coefficient of the current conversion unit. A video denoising effect is mainly determined by the filter coefficient of a module. Through application of the device and the method provided by the invention, in a resource limited system, low-complexity, low-operation quantity and low-delay video denoising can be realized, and the subjective and objective quality of video coding is improved. The method and the device provided by the invention are simple and have wide application prospect in the technical field of multimedia video coding.
Owner:VERISILICON MICROELECTRONICS SHANGHAI +2
Optimized windows and methods therefore for gradient-descent based window optimization for linear prediction analysis in the ITU-T G.723.1 speech coding standard
InactiveUS7512534B2Improve subjective and objective qualityIncrease in PESQSpeech analysisSpeech codePerceptual weighting
Primary and alternate optimization procedures are used to improve the ITU-T G.723.1 speech coding standard (the “Standard”) by replacing the Hamming window of the Standard with an optimized window, with two windows, or with two windows and an additional performance of an autocorrelation method. When two windows replace the Hamming window, at least one of which is an optimized window, generally the first is used to determine optimized unquantized LP coefficients which are used to define an optimized perceptual weighting filter, and the second is used to determine optimized unquantized LP coefficients which are used to determine optimized synthesis coefficients. Optimized windows created using the primary and alternate optimization procedures and used in the Standard yield improvements in the objective and subjective quality of synthesized speech produced by the Standard. The improved Standard, methods, and widow can all be implemented as computer readable software code.
Owner:NTT DOCOMO INC
Low code rate video coding method and system
InactiveCN106303520AImprove subjective and objective qualityRestricted encoding modeDigital video signal modificationCode moduleObjective quality
The invention discloses low code rate video coding method and system. The low code rate video coding system comprises a first determination processing module, a first regular coding module, a second determination processing module, a second regular coding module, a next coding frame determination processing module and a next coding frame setting module. The low code rate video coding method monitors a visual sensitive area of a film source image, can perform timely regulation, can limit a coding mode of the area, and can improve subjective and objective quality of video compression when the complicate film source is compressed with a low code rate.
Owner:北京中传视讯科技有限公司
A learning-based super-resolution reconstruction method for low-bit-rate compressed images
ActiveCN103475876BSolve the problem of blocking artifactsImprove subjective and objective qualityCharacter and pattern recognitionDigital video signal modificationPattern recognitionCompression artifact
Owner:BEIJING UNIV OF TECH
A Stereoscopic Video Macroblock Lost Error Concealment Method
ActiveCN103237226BImprove subjective and objective qualityDigital video signal modificationSteroscopic systemsParallaxTime domain
Owner:NINGBO UNIV
Optimized windows and methods therefore for gradient-descent based window optimization for linear prediction analysis in the ITU-T G.723.1 speech coding standard
InactiveUS20070061136A1Improve speech qualityIncrease in pesqSpeech analysisPerceptual weightingSubjective quality
Primary and alternate optimization procedures are used to improve the ITU-T G.723.1 speech coding standard (the “Standard”) by replacing the Hamming window of the Standard with an optimized window, with two windows, or with two windows and an additional performance of an autocorrelation method. When two windows replace the Hamming window, at least one of which is an optimized window, generally the first is used to determine optimized unquantized LP coefficients which are used to define an optimized perceptual weighting filter, and the second is used to determine optimized unquantized LP coefficients which are used to determine optimized synthesis coefficients. Optimized windows created using the primary and alternate optimization procedures and used in the Standard yield improvements in the objective and subjective quality of synthesized speech produced by the Standard. The improved Standard, methods, and widows can all be implemented as computer readable software code.
Owner:NTT DOCOMO INC
H.264-based embedded wireless video monitoring system
InactiveCN102123273AImprove adaptabilityImprove compression coding efficiencyClosed circuit television systemsDigital video signal modificationInternet monitoringCode division multiple access
The invention discloses an H.264-based embedded wireless video monitoring system which is composed of a wireless terminal user or wired Internet monitoring user, a center server and an embedded monitoring terminal, wherein the wireless terminal user or wired Internet monitoring user is used for sending a user request command to the center server, the user request command firstly accesses the Internet by virtue of a CDMA (code division multiple access) gateway and then reaches the center server; the center server is used for carrying out command analysis after receiving the user request command, then sending a control command to the monitoring terminal through a wireless network; and the monitoring terminal is used for shooting field images by virtue of an image acquisition module after receiving a monitoring task sent by the center server, then sending image data subjected to H.264-based compression coding back to the center server by a CDMA module according to an RTP (real time protocol) communication protocol. By implementing the embodiment of the invention, the video signal acquisition, compression and transmission functions are achieved, and the compression coding efficiency is greatly improved.
Owner:云浮南风数字科技有限公司
CS-based image optimized decoding method
InactiveCN105007484AObvious superiorityExcellent subjective and objective qualityDigital video signal modificationDecoding methodsObjective quality
To solve the problem that the decoding quality of a conventional mainstream JPEG image coding standard is decided by transformation and quantification in an encoder, the invention brings forward a CS-based decoding method according to the CS theory. DCT of a coding end is regarded as observation of an original image signal, image sparse is carried out through total variation (TV), quantized noise is considered as observation noise, image decoding is transformed CS optimized reconstruction, and thus CS accurate reconstruction replaces inverse DCT in JPEG decoding. On the above basis, CS optimized decoding based on block merging is provided to further improve the decoding quality. Sufficient experiment results show that the scheme of the invention enables the objective and subjective quality of image decoding to be substantially improved compared with conventional JPEG decoding. Compared with the prior art, the method has the advantages that the objective and subjective quality of image reconstruction at a decoding end is greatly improved while a conventional JPEG coding end structure and a code stream format are not changed, thereby having a great significance in the development of image printing industries.
Owner:NANYANG DONGFU PRINTING PACKING
Picture coding method and system
InactiveCN102413325AImprove forecast accuracyImprove subjective and objective qualityBrightness and chrominance signal processing circuitsTelevision systemsComputer architectureLightness
The invention discloses a picture coding method and system. The method comprises the following steps: carrying out intraframe coding on macroblocks required to be coded to acquire the macroblocks of the intraframe coding; subtracting the luminance component in luminance blocks in the macroblocks of the intraframe and the luminance component in luminance blocks in the macroblocks required to be coded, subtracting the luminance component in Cr chrominance blocks in the macroblocks of the intraframe coding and the luminance component in Cr chrominance blocks in the macroblocks required to be coded, and subtracting the luminance component in Cb chrominance blocks in the macroblocks of the intraframe coding and the luminance component in Cb chrominance blocks in the macroblocks required to be coded to acquire a luminance difference block, a Cr chrominance difference block and a Cb chrominance block; coding at least one of the luminance difference block, the Cr chrominance difference block and the Cb chrominance block so as to realize additional coding on the macroblocks required to be coded; and adding an additional coding result of the macroblocks required to be coded and the macroblocks of the intraframe coding to acquire a final coding result of the macroblocks.
Owner:FUJITSU LTD
High-definition video coding rate control method based on sobel operator and linear regression
ActiveCN107257464BImprove subjective and objective qualitySmall bit rate errorDigital video signal modificationAlgorithmVideo encoding
Owner:SICHUAN UNIV
Usage of DCT Based Interpolation Filter and Enhanced Bilinear Interpolation Filter in Affine Motion Compensation
PendingUS20220264094A1High bandwidthImprove subjective and objective qualityDigital video signal modificationPattern recognitionAffine motion
A method related to adaptive usage of pixel-based and block-based affine motion compensation and includes performing sub-block-based affine transform prediction on an affine block with a first sub-block size if the first sub-block size is greater than or equal to a first sub-block size threshold. If the first sub-block size is less than the first sub-block size threshold, it is determined whether a pixel-based motion vector field is not applied for performing motion compensation for the affine block. If the motion vector field is not applied, a sub-block-based affine motion prediction is performed with a second sub-block size that is based on the first sub-block size. If the pixel-based motion vector field is applied, motion compensation is performed for a sub-block of the affine block using the pixel-based motion vector field.
Owner:HUAWEI TECH CO LTD
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