1388 results about "Chrominance" patented technology

The invention belongs to the technical field of video processing, and particularly relates to a monitoring video enhancement method for a farm, which aims to solve the technical problem of low quality of an enhanced video in the prior art, and comprises the following steps: S1, processing each frame of image in a monitoring video sequence frame by frame; s2, distinguishing a target animal area from a background area, and identifying and generating an artifact mask; s3, aiming at the background area, carrying out key smoothing processing on the artifact position to inhibit the artifact; s4, for the image of the target animal area, performing adaptive nonlinear enhancement on the brightness component, and performing color correction on the chrominance component; s5, performing pixel-level fusion on the enhanced target animal area and the background area; and S6, spreading the information of the previous frame to the current frame by using the forward optical flow field, and carrying out weighted fusion on the information of the previous frame and the current frame. According to the method, the target bred animals, the background areas and the artifacts are accurately distinguished, so that refined and differentiated processing of pictures is realized.

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 audio and video coding, decoding and processing, provides an audio and video signal transmission method and system based on software and hardware cooperation of an autonomous controllable architecture, and solves the problem of low bandwidth utilization rate. The method comprises the following steps: synchronously acquiring bandwidth fluctuation, packet loss rate and transmission delay parameters of a mobile terminal link, and generating a network state level through association analysis; performing resolution scaling on a brightness component of a video frame, performing dynamic downsampling on a chrominance component, generating a resolution reduction frame adaptive to a network state, and generating a fault-tolerant coding stream by combining a packet loss rate regulation and control quantization step size, a frame group length and an inter-frame prediction mode; performing entropy decoding and motion compensation to align brightness and chrominance components, forming a decoding reconstruction frame, performing multi-scale feature extraction and detail compensation, generating an enhanced brightness graph, and performing independent reconstruction on chrominance decoding components; and outputting an original resolution video frame through color reconstruction fusion. According to the invention, high-definition video low-delay transmission under network fluctuation is realized, and both bandwidth adaptability and image quality restoration precision are considered.

A method for signaling or parsing. for each chroma component of at least one portion of a picture. an information representative of a phase value between samples of the chroma component and samples of a luma component of the picture, the phase value being taken among at least three different phase values for each chroma component.

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.

Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining, for a conversion between a current video block of a video and a bitstream of the video, first information regarding whether to filter a prediction for a chroma component of the current video block, wherein the prediction for the chroma component is determined with a cross-component prediction (CCP) mode, and the first information is dependent on coding information associated with the current video block; and performing the conversion based on the first information.

The invention relates to a dynamic color cast compensation Demura method and system and a display screen, and belongs to the technical field of display. Comprising the following steps: collecting a white light channel picture, obtaining relative brightness data, calibrating the relative brightness data, and constructing a mapping function; according to the function, converting the relative brightness data to obtain first Lab data; obtaining a Lab data initial value of a to-be-compensated screen; calculating a color difference value according to the Lab data initial value and the first Lab data; performing visual perception weighted deviation conversion on the difference value to obtain color deviation; calculating a dynamic compensation weight according to the deviation; obtaining a color deviation evaluation index according to the weight and the color deviation; and generating second Lab data according to the evaluation index and the gradient vector of the color difference value, and performing inverse operation on the second Lab data to obtain a Demura compensation value. According to the invention, through joint compensation of brightness and chromaticity, chromaticity compensation missing is avoided, and meanwhile, through a dynamic compensation weight mechanism, noise amplification in a low-brightness interval is avoided, and the color uniformity of a display screen is improved.

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.

A device may perform local illumination compensation. The device may determine whether local illumination compensation is to be performed for a luma component of a video block. The device may determine a value of a chroma local illumination compensation variable based on local illumination compensation being performed for a luma component of a video block and one or more thresholds. The chroma local illumination compensation variable may indicate whether local illumination compensation is to be performed for a chroma component of the video block.

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.

The disclosure includes methods and apparatuses that includes processing circuitry that derives a chroma prediction mode of a chroma block in a chroma coding region based on luma coding information of a luma block associated with a position in a reconstructed luma area that is collocated with the chroma block. The chroma coding region is partitioned separately from a collocated luma coding region including the reconstructed luma area. The luma coding information indicates that the luma block is coded with a first coding mode using a first luma BV (an IBC mode or an IntraTMP mode) and a second coding mode. The processing circuitry derives a chroma BV of the chroma block based on a luma BV of the luma block and reconstructs the chroma block based on the chroma prediction mode including the first coding mode and the second coding mode.

The utility model discloses an imaging colorimeter and a detection device, the imaging colorimeter comprises a housing, a light filtering module, an image sensor, a photographing module and a control module, a support is arranged in the housing, the photographing module is arranged at the bottom of the housing in a penetrating manner, the light filtering module comprises a driving module and a light filtering disc connected with the output end of the driving module, and the image sensor is arranged in the housing. The driving module is arranged on the support, the filter disc is located between the photographing module and the support, the image sensor is arranged on the support, and the control module is electrically connected with the image sensor, the photographing module and the driving module. When a product is tested, the driving module drives the filter disc to rotate, light received by the photographing module penetrates through the filter disc to be filtered by physical light splitting and then is projected to the image sensor, and the image sensor converts an optical signal into an electric signal and transmits the electric signal to an upper computer. The light is filtered and split, so that the image sensor outputs a color signal which is more suitable for human eye observation, and the accuracy of product testing is improved.

A method and an apparatus including processing circuitry for video processing are provided. For a first region in a chroma block in a current picture, the processing circuitry is configured to update an offset parameter in a cross-component linear model (CCLM) mode based on a first subset of reconstructed samples in a luma block that is collocated with the chroma block in the current picture. The first subset of the reconstructed samples does not include one or more reconstructed samples in the luma block. The processing circuitry is configured to update a slope parameter in the CCLM mode based on a second subset of the reconstructed samples in the luma block and encode the first region in the chroma block based on the updated offset parameter and the updated slope parameter using the CCLM mode.

A method for decoding video data, comprising: obtaining a video block from a bitstream, obtaining a reference luma sample value and a reference chroma sample value in an external region of the video block; predicting each of chroma sample values of the video block by deriving one or more pre-operated values with arithmetical operations based on a plurality of non-down-sampled luma sample values corresponding to the chroma sample value to be predicted, applying a convolutional cross-component model (CCCM) to the plurality of non-down-sampled luma sample values and the one or more pre-operated values reduced by the reference luma sample value respectively to derive a result of the CCCM, and obtaining the predicted chroma sample value based on the result of the CCCM and the reference chroma sample value, and obtaining a predicted video block based on multiple predicted chroma sample values.

The invention discloses a nozzle voltage adjustment method and device based on camera automatic identification printing color blocks and a storage medium, and relates to the technical field of printing device calibration, and the method comprises the steps: controlling a printing device to output a pattern containing each nozzle independent test area and color blocks; acquiring chromaticity distribution data through an image acquisition device, and extracting characteristic parameters such as brightness and saturation; determining a reference characteristic parameter based on a reference selection rule, and calculating a deviation value between each test area and the reference; an adjustment instruction is generated according to the mapping relation between the deviation value and the voltage adjustment amount, verification printing and iterative optimization are carried out after implementation until the precision is met, and through dynamic selection of a reference color block, LAB color space chromatic aberration calculation, voltage sensitivity coefficient matrix mapping and aging compensation, the adjustment precision and efficiency are improved, the dependence on artificial experience is reduced, and the adjustment precision and efficiency are improved. The method is suitable for nozzle calibration of high-precision printing equipment.

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.

The invention belongs to the technical field of image analysis and processing, and particularly relates to a flame image-based rotary furnace combustion state prediction method and system. The method comprises the following steps: acquiring a video image sequence of flames in the rotary furnace, and converting each frame of image into a YUV color space; calculating a combustion contribution degree based on the brightness component and the chromaticity component, and screening out a core flame pixel set; taking the combustion contribution degree as a weight, calculating a weighted covariance matrix, determining a confidence ellipse according to the eigenvalue and eigenvector of the matrix, taking the center of the confidence ellipse as a weighted centroid, determining a rotation angle by the eigenvector, and making the length of long and short semi-axes in direct proportion to the square root of the eigenvalue; extracting the area, eccentricity rate, rotation angle and center position of the confidence ellipse as combustion state feature vectors at the current moment; and inputting a time sequence formed by the combustion state feature vectors at the multiple moments into a pre-trained hidden Markov model, and outputting the combustion state of the rotary furnace. According to the invention, the accuracy and anti-interference capability of combustion state prediction are improved.

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).

The invention relates to a transform-based image encoding method and an apparatus therefor. An image decoding method according to the present document comprises the steps of: applying LFNST to a transform coefficient in order to derive a modified transform coefficient; and deriving a residual sample for the target block based on an inverse primary transform of the modified transform coefficient, wherein the step of deriving the transform coefficient includes: determining whether a scaling list is applied to the current block based on a tree type of the current block and whether LFNST is applied; and deriving a transform coefficient for the current block from the residual information on the basis of the determination result, and enabling the scaling list to be applied when the tree type of the current block is a single tree and a chroma component.

A method is disclosed for selecting a reference sample for deriving a cross-component relation model in intra prediction. In the disclosed embodiments, a video decoding device derives temporary sampling positions from neighboring samples of the current block by using characteristics of a reconstructed luma component or neighboring samples of the current block. The video decoding device evaluates and adjusts the temporary sampling positions to select final positions and derives the cross-component relation model by using samples of the final positions. The video decoding device generates chroma prediction values of the chroma component by applying the cross-component relation model to the luma component.

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.

The invention belongs to the technical field of semiconductor display, and particularly relates to a pixel array intelligent control system of a MicroLED display. The system comprises a pixel sensing array, a dynamic compensation engine, a self-adaptive driving scheduling module, an environment coupling feedback module and a central cooperative control unit, and realizes single-pixel-level brightness and chrominance correction, power consumption suppression and fault redundancy mapping by collecting pixel-level and environment multi-dimensional data in real time, dynamically generating a compensation coefficient and optimizing driving parameters. And the display uniformity, the color fidelity and the system reliability are obviously 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.