2056 results about "Chrominance" patented technology

The invention relates to the technical field of projection display, and discloses a projection curtain light field display gain method and system used under ambient light. According to the method, environment light data, projection curtain data and original output signals of projection equipment are collected in real time, and a dynamic light field distribution model is established after fusion processing. And based on the dynamic light field distribution model, adopting an adaptive genetic algorithm to optimize a compensation weight, generating a light field compensation parameter set, performing reverse compensation processing of brightness gain, contrast and chromaticity offset on an original output signal, and generating an enhanced projection signal. The system comprises a multi-source data acquisition module, a light field feature extraction module, a dynamic compensation calculation module, a signal enhancement processing module and a closed-loop feedback control module, ensures that the projection image keeps an optimal display effect under different ambient light conditions, and remarkably improves the watching experience of audiences.

A method for video decoding is provided. The method includes obtaining, from a video bitstream, a coding unit in a current picture, wherein the coding unit comprises a luma block and at least one chroma block; and in response to a determination that reconstructed luma samples in the luma block are not to be down-sampled: determining one or more cross-component prediction models based on a luma filter, wherein the one or more cross-component prediction models comprise a convolutional cross-component model (CCCM); obtaining, based on the luma filter, at least one reconstructed luma sample in the luma block that corresponds to a chroma sample in the at least one chroma block; and applying at least one of the one or more cross-component prediction models to the at least one reconstructed luma sample to predict the chroma sample.

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.

A system configured to generate dynamic visual feedback by synchronizing smart lights with a rhythm and energy levels of music being output. A device may translate audio samples to luma (brightness), chroma (color), and location data using a low-latency algorithm. For example, the device may divide the full band audio data into separate frequency bands based on the number of output devices and control a brightness for an output device by tracking energy within a corresponding frequency band. The color and location may be controlled based on a number of beats per minute, direction, and / or the like. In addition to controlling external lighting via a smart home hub, the device can control LED light(s) on the device via an LED controller. To further reduce latency, the device can directly communicate between an audio processor, the smart home hub, and / or the LED controller using low level hardware abstraction layers (HALs).

A video signal processing method comprises the steps of: configuring a template including neighboring blocks of a current block; down-sampling luminance component samples of the neighboring blocks on the basis of a color format of a current picture including the current block; deriving a first linear model and a second linear model on the basis of the down-sampled luminance component samples; and on the basis of any one linear model from among the first linear model and the second linear model, predicting a chrominance component sample at a location corresponding to a location of a first sample from among the luminance component samples of the current block, wherein the any one linear model is determined by comparing a value of the first sample with a threshold value.

The invention discloses a low-light image enhancement method based on a YUV color space, and relates to the technical field of image processing. According to the method, a color space illumination enhancement network (CSLNet is established, brightness (Y) and chrominance (U, V) information is separated, and brightness and chrominance channels are respectively subjected to targeted processing, so that the image brightness and details are improved, the problems of color distortion and noise amplification are avoided, the CSLNet makes full use of the advantages of a YUV color space, and the image quality is improved. Wherein the Y channel represents brightness information, the U and V channels represent chrominance information, brightness enhancement and color correction can be more accurately controlled through separation processing and the CSLNet, a color space enhancement module CSE Block (Color Space Enhancement Block) is introduced into the CSLNet, the CSE Block is fused with a U-shaped network structure and a multi-head self-attention mechanism, and optimization processing is specially carried out on chrominance channels U and V of a low-illumination image.

A video coding system is provided that performs intra prediction in a mode using a neural network for block of only a set of specific block sizes. The signaling of this mode is designed to be efficient in terms of rate-distortion under this constraint. Different transformations of the context of a block and the neural network prediction of this block are introduced in order to use one single neural network for predicting blocks of several sizes, as well as the corresponding signaling. The neural network-based prediction mode considers both luminance blocks and chrominance blocks. The video coding system comprises encoder and decoder apparatuses, encoding, decoding and signal generation methods and a signal carrying information corresponding to the described coding mode.

A method for video decoding is provided. The method includes obtaining, from a bitstream, a coding unit in a current picture, the coding unit including a luma block and a chroma block; obtaining a reconstructed luma sample in the luma block; determining one or more cross-component prediction models based upon a block size, the block size being a size of the luma block or a size of a reconstructed neighbouring block located on a top of or a left of the luma block; and applying at least one of the one or more cross-component prediction models to at least the reconstructed luma sample to predict a chroma sample in the chroma block.

The invention provides a cross-platform content compatibility method and system based on a virtual shooting LED display screen. The method comprises the following steps: processing an irrelevant data content stream of a content stream of a heterogeneous content source to generate an intermediate data stream; constructing a virtual logic display space according to the resolution parameter of the intermediate data stream and the curvature data of the physical screen database; performing dynamic resource allocation based on the control point grid of the virtual logic display space, and generating a rendering task queue; loading a three-dimensional lookup table to perform forward color gamut conversion according to the rendering task queue and a physical screen color configuration file, and adjusting HSL offset according to collected real-time chroma data to generate frame cache data; and determining a delay compensation value based on the frame buffer data and the PTP clock signal, and inserting a corresponding time offset in an output queue through the delay compensation value to generate a multi-screen output signal. According to the scheme, the rendering accuracy, the color consistency and the display stability in the virtual shooting scene can be remarkably improved.

A method and an apparatus are disclosed for video coding using an improved inloop filter for chroma components. In the disclosed embodiments, a video decoding device performs obtaining a reconstructed frame that includes luma samples and chroma samples, subsequently obtaining a scale value representing a resolution difference between the reconstructed frame and an original frame. Responsive to the reconstructed frame having a resolution that is based on the scale value and is less than a resolution of the original frame, the video decoding device generates an upsampled chroma frame by inputting the luma samples and the chroma samples into a cross component resampling inloop filter (CC-RIF).

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 underwater image enhancement, and provides a deepwater image enhancement method based on multi-color space coupling, which comprises the following steps: determining an optimal channel, a moderate attenuation channel and a severe attenuation channel in an RGB color space based on a pixel average value, carrying out asymmetric histogram cutting pre-correction on the optimal channel, and carrying out deep-water image enhancement on the optimal channel; designing a loss function to enable an attenuation channel to approach an optimal channel through iterative compensation; in the Lab color space, clustering and segmenting the brightness component L into a plurality of pixel blocks by using an unsupervised pixel clustering model PCM, and performing local contrast enhancement and guided filtering-based noise reduction processing on each pixel block; and finally, carrying out nonlinear stretching on the chrominance components a and b by adopting a self-adaptive exponential function to improve the color naturalness. Through a multi-color space cooperative enhancement mechanism, the limitation of single color space processing in a traditional method is effectively solved, and the color correction precision, brightness enhancement and noise reduction balance and the naturalness optimization effect of the deep water image are improved.

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.

Methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one method for video decoding, a decoder may obtain a motion compensated chroma sample and a plurality of motion compensated luma samples for a current inter coding block. Furthermore, the decoder may obtain an adaptive cross-component filter and obtain a filtered motion compensated chroma sample based on the adaptive cross-component filter, the motion compensated chroma sample, and the plurality of motion compensated luma samples.

A device for decoding encoded video data is configured to determine that a chroma block of the encoded video data is coded in a cross-component prediction (CCP) mode; generate a merge candidate list for the chroma block, wherein the merge candidate list includes at least two prediction candidates generated by different CCP modes and a third prediction candidate, wherein the third prediction candidate comprises a fusion prediction candidate; receive, in the encoded video data, a syntax element set to a value; select a prediction candidate from the merge candidate list based on the value of the syntax element; determine a prediction block for the chroma block based on the selected prediction candidate; determine a decoded block of video data based on the prediction block for the chroma block; and output a decoded picture of video data that includes the decoded block of video data.

The invention provides a MicroLED (Light Emitting Diode) display screen Demura preprocessing method and a MicroLED display screen Demura preprocessing system based on a color matrix. Acquiring brightness and chrominance distribution data of the MicroLED display panel based on the imaging type colorimeter; based on the data, performing accurate calculation through a compensation algorithm to obtain a compensation value of each pixel point; and the compensation values are applied to the display panel driving circuit, so that accurate compensation of the Mura phenomenon is realized. According to the method, the brightness and chrominance of the Mura data are automatically analyzed, the optimal compensation target value is determined, accurate compensation of the pixel level can be achieved through support of the Mura data and a compensation algorithm, the system can monitor input data of the display panel in real time and adjust the compensation value in real time, expandability is good, and the method is suitable for large-scale popularization and application. And the system can support MicroLED display panels with different sizes and resolution ratios, and the like. The system is mainly composed of a data acquisition processing module and a compensation value preprocessing calculation module.

The invention relates to an image transmission method and device based on layered coding and a storage medium, and the method comprises the steps: a coding unit receives a YUV444 format image, carries out the transcoding and chroma extraction, and obtains a basic coding layer and a chroma enhancement layer; the transmission unit uses the basic coding layer and the chroma enhancement layer as independent coding streams and sends the coding streams to a decoding unit; a decoding unit receives and decodes the basic coding layer coding stream and the chroma enhancement layer coding stream to obtain a basic image and a color enhancement image; the decoding unit reconstructs the base image and the color enhanced image into a YUV444 format image. According to the image transmission method based on layered coding, the problem of YUV420 color distortion is solved by independently transmitting chroma high-frequency information.

The present disclosure provides a method for decoding video data, comprising: obtaining a video block from a bitstream, obtaining internal luma sample values of the video block, external luma sample values and external chroma sample values of an external region of the video block, determining, by using values based on the external luma sample values and the external chroma sample values, a set of weighting coefficients corresponding to a filter shape, wherein the filter shape and the set of weighting coefficients are configured for predicting a chroma sample value based on a plurality of corresponding luma sample values, and the values comprise non-downsampled values of the external luma sample values, or the non-downsampled values of the external luma sample values along with a downsampled value of at least one of the external luma sample values, predicting, with the filter shape and the set of weighting coefficients, internal chroma sample values of the video block based on the internal luma sample values, and obtaining decoded video block using the predicted internal chroma sample values.

An intra prediction method by using cross component liner prediction mode (CCLM), includes: determining a luma block corresponding to a current chroma block; obtaining luma reference samples of the luma block based on determining L available chroma reference samples of the current chroma block, wherein the obtained luma reference samples of the luma block are down-sampled luma reference samples; calculating linear model coefficients based on the luma reference samples and chroma reference samples that correspond to the luma reference samples; and obtaining a prediction for the current chroma block based on the linear model coefficients and values of a down-sampled luma block of the luma block.

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.

A decoder may generate a reconstruction of a luma block based on a prediction of the luma block and a residual of the luma block. The decoder may generate, at one or more hidden layers, a score distribution. The decoder may generate the score distribution based on the reconstruction of the luma block and one or more coding parameters of the luma block. The decoder may generate, at an output layer and based on the score distribution, a prediction of a chroma block corresponding to the luma block. The decoder may determine a reconstruction of the chroma block based on the prediction of the chroma block and a residual of the chroma block.

The invention relates to the field of coding and decoding, and discloses an image coding method, a decoding method and related equipment, and the method comprises the steps: obtaining first information according to a first code stream; size transformation is carried out on the first information to obtain second information, and the second information comprises information of chrominance components of the first image format; reconstructing the first image according to the second information; third information is acquired according to the second code stream, and the sizes of the third information in the spatial dimension and the channel dimension are consistent with those of the first information; performing size transformation on the third information to obtain fourth information; the fourth information comprises information of chrominance components of the second image format; and reconstructing the second image according to the fourth information. According to the method and the device, the information of the chrominance components of different image formats can be obtained by performing size transformation on the information of the same size in the decoding process, so that the computing power overhead and the time overhead of the decoding network in the decoding process of the different image formats are consistent, and the stability of information processing is improved.

The embodiment of the invention provides a correction method and system for a corrected LED display screen, and belongs to the field of display screen correction. The method comprises the steps that a vibration signal of the LED display screen is monitored, if acoustic abnormity exists, thermal image linkage scanning is triggered to lock a fault area, a spraying mechanism is controlled to spray a substrate repairing material on the fault area, pre-curing treatment is carried out, a laser reaction restraint layer is formed, and conductive repairing is carried out; performing primary verification, and performing dynamic compensation on the display consistency according to the geometric correction mapping table and the brightness and chrominance compensation parameters; and acoustic suppression optimization is carried out on the fault area, secondary verification is carried out, and correction is completed until the secondary verification reaches the standard or reaches the maximum number of iterations. Through the multi-mode sensing fusion and intelligent repair technology, efficient and accurate maintenance of the LED display screen is realized, the maintenance efficiency of the LED display screen can be improved, the service life of the display screen is prolonged, and the operation and maintenance cost is reduced.

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 present invention relates to method and apparatus for motion vector derivation for affine based inter prediction of chroma subblocks based on chroma format. The method includes: determining chroma scaling factors in horizontal and vertical directions based on chroma format information, wherein the chroma format information indicates a chroma format of a current picture which the current image block belongs to; determining a set (S) of luma subblocks of the luma block based on values of the chroma scaling factors; determining a motion vector for a chroma subblock of the chroma block based on motion vectors of one or more luma subblocks in the set (S) of luma subblocks.