1684 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.

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 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.

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.

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 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.

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 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.

The invention discloses an OK lens offset quantitative detection method and system based on a corneal topography map, and the method specifically comprises the following steps: carrying out the preprocessing of the corneal topography map, intercepting a lower half region, converting the lower half region into an HSV color space, and separating the brightness and chrominance information; extracting cornea sclera boundaries and OK lens red and green mark areas through dynamic threshold segmentation, and determining boundary key points and lens mutation point coordinates in combination with a sub-pixel level positioning technology; a standardization coefficient is dynamically calculated through the cornea diameter, and the pixel distance is converted into the actual physical offset. Through multi-modal feature fusion and dynamic parameter adjustment, the positioning error is reduced to + / -0.02 mm, the single time consumption is less than 5 seconds, and the method has the robustness of illumination interference resistance, motion blur resistance and individual cornea size difference, and provides an efficient and objective quantitative basis for evaluation of the wearing effect of the OK lens.

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.

An image encoding / decoding method and apparatus, a recording medium for storing a bitstream and a transmission method are provided. The image decoding method comprises generating a chroma mode list of a current chroma block, deriving a chroma intra prediction mode of the current chroma block based on the chroma mode list, and generating a prediction block of the current chroma block based on the chroma intra prediction mode. The chroma mode list may comprise at least one of a default mode, a derivation based chroma mode or a direct mode.

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 provides a self-adaptive real-time image quality enhancement method and system, and the system comprises an image data conversion module which is used for converting YUV format data of a video stream into an RGB format through OpenGL, and further converting the RGB format into an HSL color space; the adaptive brightness enhancement module dynamically adjusts an enhancement coefficient according to the brightness component of the current frame; the multi-frame joint skin color detection module is used for determining a skin color area based on the chromaticity and saturation threshold range of the HSL color space; the local self-adaptive color enhancement module is used for inputting image generation dynamic parameters and performing color enhancement; the noise analysis and noise reduction module is used for performing soft threshold processing on the high-frequency signal; the texture adaptive detail enhancement module is used for adjusting sharpening strength based on texture complexity; and the GPU acceleration processing framework is used for rendering and outputting the enhanced RGB image in real time. Through a series of technical innovations, the image quality of video playing and the user experience are remarkably improved in multiple aspects, and the method has important practical application value.