844 results about "Chrominance" patented technology

The application provides a signal transmission method, a video encoder and a computer readable storage medium. A computer-implemented signal transmission method performed by an encoder comprises the following steps: a processor transmits a bitstream comprising weight information for a prediction coding unit (CU) to a video decoder, the weight information indicating that if weighted prediction is enabled for a bi-prediction mode of the CU, weighted averaging for the bi-prediction mode is disabled, and the weight information indicating that if weighted prediction is enabled for at least one of a luma component and a chroma component of a reference picture of the CU, weighted averaging for the bi-prediction mode is disabled, wherein the bitstream comprises a flag indicating whether weighted prediction is enabled for at least one of the luma component and the chroma component of the reference picture, and the flag comprises a flag luma_weight_lx_flag[i] transmitted for an i-th reference picture in a reference picture list Lx, wherein x is 0 or 1.

The invention relates to the technical field of visual control, in particular to a picture defect test equipment control system and method, and the system comprises a difference tensor construction module, a space-time constraint construction module, a strain response judgment module, a coupling focusing mapping module and a boundary stability evaluation module. According to the method, the multi-dimensional difference incidence relation is constructed by extracting the pixel gray difference value, the brightness gradient and the chrominance phase angle, and fine brightness fluctuation and color shift in a picture can be captured. The superposition of the time-space change rate enables the dynamic performance of image defects to be distinguished, and continuous and transient anomalies can be effectively recognized. And in combination with tensor strain ratio and difference amplitude analysis, an abnormal region can be adaptively recognized, and neglect of a traditional method on a complex scene is avoided. The weighted aggregation of the local energy response improves the stability of the defect boundary, ensures the accurate positioning and judgment consistency of the image defect, and significantly improves the reliability and accuracy of the detection result especially in dynamic change and complex illumination environments.

The invention discloses a color cast correction method and device for white picture brightness compensation and a storage medium. The color cast correction method and device are used for performing dual correction on a display screen after Demura compensation is performed on the basis of a white picture. The method comprises the following steps: collecting regional images of a target screen under different exposure times, and calculating to obtain a brightness data mean value of a plurality of regional images; establishing a mapping relation according to the brightness data mean value and the actual brightness data of the regional image; calculating Euclidean distances from the centers of the plurality of regional images to the center of the target screen; constructing a brightness-exposure response function according to the mapping relation and the Euclidean distance to obtain a brightness-exposure characteristic matrix; correcting the brightness data mean value for the first time by using the brightness-exposure characteristic matrix to obtain first corrected brightness data; constructing a chromaticity-brightness correction function of each pixel point in the target screen; and correcting the first corrected brightness data for the second time by using the chroma-brightness correction function to obtain second corrected brightness data.

The invention relates to the technical field of LED display testing, in particular to an LED screen backlight module performance testing system which comprises the steps that a model identification code of a module to be tested is received, a corresponding standard optical parameter set is called, and initial driving current is applied. Actual optical signals driven by different currents are collected through a light sensing probe array and converted into a digital optical measurement value set containing brightness and color coordinate values of multiple sampling points. Comparing the brightness measurement value with a target brightness value point by point to generate a brightness consistency deviation matrix; and judging the color coordinate measurement value and the target range, and generating a color coordinate qualified identifier list. And calculating an actual brightness uniformity value according to the deviation matrix, and comparing the actual brightness uniformity value with a standard threshold value. And if the actual brightness uniformity value reaches the standard and the color coordinates of all the sampling points are qualified, generating a module qualification judgment instruction. According to the system, automatic and high-precision comprehensive evaluation of brightness space uniformity and chromaticity consistency of the backlight module is realized.

The invention relates to the technical field of target tracking, provides a low-light environment target tracking method based on image channel enhancement and dynamic attention feature matching, and solves the problems of difficult feature extraction, mismatching, insufficient real-time performance and the like caused by image quality degradation in a low-light and resource-limited scene in a traditional method. The method comprises the following steps of: distributing enhanced brightness and chrominance channels by adopting a YUV spatial separation mechanism, realizing color restoration and noise suppression, and forming high-quality tracking input through cross-channel re-calibration; search calculation is accelerated based on a dynamic Transform architecture, and the feature matching capability is enhanced through cross attention fusion and interaction of global features. According to the method, an end-to-end collaborative architecture is adopted, image enhancement and target tracking are unified, and the method has the advantages of stable feature alignment capability and lightweight calculation design, and is suitable for application scenes such as unmanned aerial vehicle night cruise, security monitoring and edge calculation terminals with high requirements for real-time performance and robustness.

Embodiments of the disclosure provide a solution for video processing. A method for video processing is proposed, and includes: deriving, during a conversion between a target block of a video and a bitstream of the vide, an intra prediction mode (IPM) of the target block for at least one chroma component, the target block being applied with a target coding tool; obtaining a prediction of the target block for the at least one chroma component using the IPM, wherein during a derivation of the IPM for the at least one chroma component, an intra prediction is processed on a first template using one of IPMs from a first IPM candidate list, and a candidate IPM with a minimum cost is derived as the IPM for the at least one chroma component; and performing the conversion based on the prediction of the target block for the at least one chroma component.

A video signal decoding device comprises a processor, wherein the processor predicts a sample of a chroma component corresponding to a sample of a luma component of a current block on the basis of the sample of the luma component, and predicts the current block on the basis of a predicted value of the sample of the chroma component. The predicted value of the sample of the chroma component is obtained using a linear equation, and the linear equation may include a term for a gradient value of the sample of the luma component.

The invention relates to the technical field of display, and discloses an LED screen correction coefficient adjusting method and system, and the method comprises the steps: collecting the original brightness and chromaticity data of each LED unit; constructing a global topological connection relation graph; calculating an initial correction coefficient; the corrected residual error of the boundary pixels of the adjacent units is analyzed; establishing a consistency constraint equation set aiming at minimizing the difference between the boundary brightness and the chromaticity; and performing joint solution to obtain a global optimization correction matrix and writing the matrix into a driving module. The system comprises a data acquisition module, a topology construction module, an initial correction module, a residual analysis module, a constraint construction module, a global optimization module and a coefficient writing module, and integrates a temperature drift compensation and visual verification mechanism. Through cross-unit collaborative optimization, seamless fusion of splicing areas is realized, and brightness uniformity, chromaticity consistency and long-term operation stability are improved.

Systems, methods, and instrumentalities are disclosed for cross-component depth-luma coding. Depth information may be used as information for joint or cross-component coding of texture information (e.g., luma, chroma, or R, G, B colour component information). The depth information may be used to jointly code the corresponding texture information. In examples, a device may determine whether a coding mode, such as a joint depth-color coding mode (JDCC) (e.g., joint depth-luma coding mode (JDLC)) is used for a current block. If JDCC coding mode is used for the block, then the device may decode depth sample(s) in the block and predict the corresponding color sample(s) (e.g., luma sample(s) and / or chroma sample(s)) in the block based on the decoded depth sample(s).

Provided are a video encoding method, a video decoding method, and a bitstream generating method using an identifier indicating whether a corresponding chroma component is filtered by an adaptive loop filter (ALF).SOLUTION: The video encoding method includes encoding an image to generate a bitstream. In the bitstream, a first syntax element is configured to indicate whether the first chromaticity component is filtered with an adaptive loop filter (ALF), and a second syntax element is configured to indicate whether the second chromaticity component is filtered with the ALF.SELECTED DRAWING: Figure 5

According to the pixel circuit, the display panel and the display device provided by the embodiment of the invention, the first reset circuit is additionally arranged on the second electrode of the driving transistor, and different initialization voltages of the first initialization signal are respectively input into the second electrode of the driving transistor through the first reset circuit in the refreshing time period and the holding time period; differential setting of the voltage of the second electrode of the driving transistor in the holding time period and the refreshing time period is achieved, then the brightness and chromaticity difference of the refreshing area and the holding area is adjustable, the split screen phenomenon is eliminated, and the image quality effect is improved.

Systems, methods, and apparatuses are described for processing video. Encoded video data may be determined from uncompressed video data. A chrominance component for a portion of the encoded video data may be determined that references another portion of the encoded video data. A luma component of the portion of the encoded video data may be determined to correspond with the luma component of the corresponding portion of the uncompressed video data.

The present invention relates to methods and systems for dynamically rendering interactive elements in a live broadcast. The method performed by an application server includes identifying chroma key areas in a live broadcast created by a creator and streamed to users via a live streaming interactive platform. The method includes obtaining an interactive element to be displayed in the chroma key areas based on user inputs from the creator and the users in the live streaming interactive platform, and live broadcast data. Further, the method includes rendering at least a portion of the interactive element in the chroma key areas based on an image fusion technique. The method includes rendering the live broadcast of the creator to the users upon post-processing of the interactive element, thereby enabling the users to view the interactive element rendered in the chroma key areas of the live broadcast.

A method comprising emulating (401) an implementation of a post-processing process of an SL-HDRx system before applying a pre-processing process of the SL-HDRx system using input color components of a current sample of a current picture up to a computation of at least one intermediate chroma component; determining (402, 404) that a value of the at least one intermediate chroma component is higher than a maximum chroma component value depending on a calculation precision set in the implementation of the post-processing process; applying (403, 405) a correction process on the input color components to obtain corrected color components for the current sample respecting at least a clipping prevention condition responsive to the value of the at least one intermediate chroma component is higher than the maximum chroma component value.

A video signal decoding apparatus is disclosed. The decoding apparatus comprises a processor. The processor: acquires a model that models the relationship between a value of a luma sample of the current block and a value of a chroma sample of the current block, on the basis of a value of at least one sample from among a neighboring luma sample of the current block, a chroma sample corresponding to the neighboring luma sample of the current block, a neighboring luma sample of a reference block, and a chroma sample corresponding to the neighboring luma sample of the reference block; and predicts a chroma block of the current block by using the acquired model and a luma block of the current block.

A method and an apparatus are disclosed for video coding CC-ALF based on a nonlinear cross-component relation. A video decoding device obtains a reconstructed frame that is an output of a sample adaptive offset (SAO) filter and generates an adaptive loop filter output (ALF output) by inputting the reconstructed frame into an adaptive loop filter (ALF). The ALF output includes a luma ALF output and a chroma ALF output. The video decoding device generates corrected values of a chroma component by inputting the luma ALF output into a nonlinear cross-component ALF (nonlinear CC-ALF) and generates an enhanced chroma ALF output by summing the corrected values of the chroma component and the chroma ALF output.

The invention discloses a low-illumination image enhancement method combining multi-channel parallel attention and cross fusion, and relates to the field of photoelectric display. In order to solve the problems of high model complexity, brightness and color gamut information coupling, artifact fusion and the like in low-illumination image enhancement, the invention provides a lightweight low-illumination image enhancement network, brightness and chrominance information are separated in a YCbCr color space, brightness structure features are extracted through a lightweight denoising module and a multi-head attention mechanism, and a low-illumination image is obtained. And a multi-channel parallel attention module (MCPA) is designed to enhance the chromaticity context modeling capability. According to the invention, a brightness-guided cross fusion module (LCA) is introduced, and cooperative enhancement of the structure and the color is realized through joint channel-space attention optimization. According to the method, a relatively high image quality index is obtained on multi-class public low-illumination data, meanwhile, the parameter quantity and the calculation quantity are remarkably reduced, and the method is suitable for edge device deployment. According to the method, color cast and fusion artifacts can be effectively inhibited, and the consistency of structural details and colors is improved.

According to the disclosure of the present document, it is possible for various LMCS application cases to apply an LMCS procedure to a block having a dual tree structure. In addition, the coding performance of the block can be improved. According to the disclosure of the present document, resources required for the LMCS procedure can be reduced. Therefore, the complexity of the LMCS can be reduced and the video / image coding efficiency can be increased.

The invention discloses a low-light image enhancement method and system based on a learnable YUV space, and the method comprises the following steps: S1, obtaining an original RGB image collected in a low-light environment, and carrying out the preprocessing of the original RGB image; s2, mapping the preprocessed RGB image to a learnable YUV color space, and decoupling to obtain a brightness component and a chrominance component; s3, obtaining an enhanced brightness feature by using the brightness component and introducing an illumination perception position coding mechanism; s4, performing multi-branch parallel denoising and pixel-level dynamic fusion on the chrominance component to obtain a purified chrominance component; s5, fusing the enhanced brightness component and the purified chrominance component, and performing color correction; and S6, the corrected YUV image is inversely converted into an enhanced RGB image. According to the method, the image is mapped to the learnable YUV space and is decoupled, and multiple enhancement and correction mechanisms are combined, so that brightness enhancement, color correction and quality improvement of the low-illumination image are realized.

The invention discloses a self-adaptive image data compression and encryption method, equipment and a medium, belongs to the technical field of image processing and data security, and aims to solve the technical problem of how to deeply mine image features, dynamically match an optimal compression strategy according to the features and realize image data compression and encryption. In order to overcome the defects of fixed compression strategy, poor cross-scene applicability and limited processing efficiency in the existing image compression and encryption technology, the adopted technical scheme is as follows: image color space conversion: obtaining a plaintext image to be processed, and performing color space conversion on the plaintext image to obtain a YCrCb color space image; component extraction and data distribution feature calculation: respectively extracting a brightness component and a chrominance component of the image, and calculating a brightness feature of the brightness component and a chrominance feature of the chrominance component; adaptively selecting an image compression algorithm; and carrying out encryption processing on the compressed image component data.

The invention discloses a deformation compensation control method, a deformation compensation control system and a deformation compensation control device for a special-shaped flexible display screen, which are used for improving the display consistency and the structural stability of the flexible display screen in a complex deformation state, prolonging the service life and improving the use experience. The method comprises the steps of calculating deformation characteristic parameters of different display units based on a spatial form model, and determining a target area to be subjected to deformation compensation according to a comparison result of the deformation characteristic parameters and a preset threshold value; based on the geometric direction variable quantity of the target area in the spatial form model, generating a display driving compensation parameter associated with the deformation characteristic parameter to carry out brightness and chrominance adjustment; adjusting a display driving signal modulation mode of the target area according to the thermal adjustment requirement; taking the magnetic attraction state change information as a structure side constraint condition of the deformation characteristic parameters; and carrying out constraint adjustment on the display power of the target area based on a comprehensive judgment result of the structure side constraint condition and the deformation characteristic parameter.

This disclosure is directed to systems and methods of data partitioning in image encoding. A video encoder may receive a single stream of video data that includes multiple layers. The video encoder may encode the one or more layers utilizing multiple counters for each component within the layers. The multiple counters may correspond to the header bits, luma bits, and chroma bits within each slice layer. The encoded layers may then be assembled into a single slice before it is sent to a decoder for decoding of image frame.

The application discloses a kind of compound eye camera image fusion methods, comprising: the global camera image is interpolated and enlarged, and the global camera image after amplification is obtained;The global camera image after amplification is divided into regions, obtain multiple local areas, and the coordinate range of each local area is obtained;Multiple sub-camera images and corresponding local area are extracted and matched with image features, and the final matching point pair is obtained;Registration is carried out based on the homography matrix formed by the final matching point pair each sub-camera image and corresponding local area, and the restoration image composed of all registered sub-camera images is obtained;The restoration image is color corrected based on the fusion algorithm of gradient fitting, to fuse the restoration image into the global camera image after amplification, and the final fusion image is obtained.The application solves the problems of traditional multi-image splicing algorithm splicing process cumbersome, image picture stretch distortion, photo brightness and chroma inconsistency.

To provide a method and apparatus for increasing video coding efficiency.SOLUTION: The video decoding method according to the present document includes deriving an intra prediction mode of a chroma block as a cross-componentlinearmodel (CCLM) mode based on intra prediction mode information, updating the intra prediction mode of the chroma block based on an intra prediction mode of a luma block corresponding to the chroma block, remapping the updated intra prediction mode to a wide-angle intra prediction mode when the chroma block is not a square, and determining an LFNST set including an LFNST matrix based on the remapped intra prediction mode.SELECTED DRAWING: Figure 16

This disclosure relates to video processing devices and methods that: combine chroma blocks into a combined chroma block, determine neighbor luma samples of one or more luma blocks corresponding to the combined chroma block, average the reconstructed neighbor luma samples to generate a neighbor luma average, and perform a chroma from luma (CfL) prediction for the chroma blocks based on the neighbor luma average. This disclosure also relates to video processing devices and methods that: compare a size of a chroma block with at least one size threshold and / or a transform unit (TU) depth of the chroma block with a TU depth of a corresponding luma block; determine a type of CfL prediction process for the chroma block based on the comparison; and perform a CfL prediction process for the chroma block according to the type of CfL prediction process.

In a case that a scaling value of neural network filter strength is set equal to 0, a decoded image before a deblocking filter is output, and thus block noise occurs. In a case that luma and chroma parameters are not taken into consideration, processing for an image of multiple transfer functions and chroma parameters is not appropriately performed. In a unit of a prescribed block, by using a parameter indicating a degree of application of the NN filter, an image after the deblocking filter and an image after an NN filter are combined using a different ratio of the images. Filter processing of a luma image is switched based on a luma parameter, and filter processing of a chroma image is switched based on a chroma parameter.