A multi-color partitioned backlight driving optimization method, device, equipment and medium

Abstract

The application belongs to the technical field of display, and relates to a multi-color partitioned backlight driving optimization method, device, equipment and medium, which comprises the following steps: receiving a signal sequence containing current and continuous historical video frames, performing space-time picture analysis on the signal sequence, and obtaining a physical backlight partitioned multi-color brightness requirement distribution diagram of at least a next frame after the current frame; identifying a crosstalk risk area according to the distribution diagram, and dynamically recombining the physical partition to obtain a logical partition; determining a backlight driving strategy suitable for the picture based on the logical partition, pre-attenuating and pre-compensating a first original driving signal corresponding to the crosstalk risk area through a preset crosstalk model to obtain a backlight driving signal; compensating a pixel display signal according to the backlight driving signal to obtain a target pixel signal, and synchronously outputting the two types of signals to a driving circuit to realize crosstalk-free display. The application can improve the crosstalk suppression capability of multi-color partitioned backlight control under dynamic pictures.

Description

Technical Field

[0001] This application relates to the field of display technology, and in particular to a method, apparatus, device and medium for optimizing multi-color zone backlight driving. Background Technology

[0002] With the continuous development of high dynamic range display technology, Mini LED local dimming has become an important technical means to improve the picture quality of LCD display devices due to its advantages such as high contrast and high-precision brightness control. Among them, RGB three-color Mini LED backlighting uses independently driven red, green and blue light-emitting chips. Compared with traditional white light or dual-color backlighting, it can achieve a wider color gamut coverage and more refined color brightness control, and is widely used in the high-end display field.

[0003] However, with the continuous increase in backlight zone density and the further shortening of optical mixing distance, the problem of dynamic crosstalk between zones is becoming increasingly prominent. This type of crosstalk includes both optical crosstalk and electronic drive crosstalk. In high-dynamic, high-contrast scenes, it can easily cause display defects such as decreased color purity, loss of dark-field details, and halo distortion, seriously affecting the display effect. Most existing multi-color backlight control technologies optimize LED arrangement, packaging structure, or static driving algorithms to improve brightness uniformity and static contrast. Some technologies improve the display effect through color calibration. These solutions usually adjust the backlight based on the current frame or historical frame data, making the control method relatively passive and less adaptable to dynamic changes in the video image. At the same time, existing backlight control mostly adopts a fixed zone form, without adaptive adjustment of the zone and control strategy based on the image content, resulting in limited crosstalk suppression effect in high-dynamic, high-contrast display scenarios.

[0004] In summary, the current multi-color local dimming backlight control has insufficient crosstalk suppression capability under dynamic scenes, making it difficult to meet the high image quality and high stability requirements of high-end display devices. Summary of the Invention

[0005] The purpose of this application is to propose a multi-color partition backlight driving optimization method, device, computer equipment and storage medium to solve the problem that the current multi-color partition backlight control has insufficient crosstalk suppression capability under dynamic images, making it difficult to meet the high image quality and high stability requirements of high-end display devices.

[0006] Firstly, a multi-color partition backlight driver optimization method is provided, which adopts the following technical solution: The system receives a video signal sequence from a display device, including the current video frame and consecutive historical video frames. It performs spatiotemporal image analysis on the current and historical video frames to obtain a multi-color brightness requirement distribution map for each backlight partition, corresponding to at least the next video frame after the current one. Each backlight partition is a physical backlight partition of the multi-color partition backlight module in the display device. Based on the multi-color brightness requirement distribution map, it identifies crosstalk risk areas from each backlight partition and dynamically reassembles each backlight partition based on the multi-color brightness requirement distribution map and the crosstalk risk areas to obtain multiple logical backlight partitions. Based on these multiple logical backlight partitions... Determine a backlight partition driving strategy adapted to the content of the display device; based on a preset crosstalk model, multi-color brightness requirement distribution map, and backlight partition driving strategy, perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame to obtain the backlight driving signal corresponding to each logical backlight partition; based on the backlight driving signal, perform compensation processing on the pixel display signal corresponding to at least the next video frame to obtain the target pixel display signal; synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device to display a crosstalk-free video image on the display device.

[0007] Secondly, a multi-color zone backlight driving optimization device is provided, which adopts the following technical solution: The receiving module is used to receive a video signal sequence from the display device, the video signal sequence including the current video frame and consecutive historical video frames; The analysis module is used to perform spatiotemporal image analysis on the current video frame and historical video frames to obtain the multi-color brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame. Each backlight partition is the physical backlight partition of the multi-color partition backlight module in the display device. The reorganization module is used to identify crosstalk risk areas from each backlight partition according to the multi-color brightness demand distribution map, and dynamically reorganize each backlight partition based on the multi-color brightness demand distribution map and crosstalk risk areas to obtain multiple logical backlight partitions. The determination module is used to determine the backlight partition driving strategy that adapts to the screen content of the display device based on multiple logical backlight partitions. The first processing module is used to perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame based on the preset crosstalk model, multi-color brightness demand distribution map and backlight partition driving strategy, so as to obtain the backlight driving signal corresponding to each logical backlight partition. The second processing module is used to perform compensation processing on the pixel display signal corresponding to at least the next video frame based on the backlight driving signal to obtain the target pixel display signal. The output module is used to synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device so as to display crosstalk-free video images on the display device.

[0008] Thirdly, a computer device is provided, which adopts the following technical solution: The system receives a video signal sequence from a display device, including the current video frame and consecutive historical video frames. It performs spatiotemporal image analysis on the current and historical video frames to obtain a multi-color brightness requirement distribution map for each backlight partition, corresponding to at least the next video frame after the current one. Each backlight partition is a physical backlight partition of the multi-color partition backlight module in the display device. Based on the multi-color brightness requirement distribution map, it identifies crosstalk risk areas from each backlight partition and dynamically reassembles each backlight partition based on the multi-color brightness requirement distribution map and the crosstalk risk areas to obtain multiple logical backlight partitions. Based on these multiple logical backlight partitions... Determine a backlight partition driving strategy adapted to the content of the display device; based on a preset crosstalk model, multi-color brightness requirement distribution map, and backlight partition driving strategy, perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame to obtain the backlight driving signal corresponding to each logical backlight partition; based on the backlight driving signal, perform compensation processing on the pixel display signal corresponding to at least the next video frame to obtain the target pixel display signal; synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device to display a crosstalk-free video image on the display device.

[0009] Fourthly, a computer-readable storage medium is provided, which adopts the following technical solution: The system receives a video signal sequence from a display device, including the current video frame and consecutive historical video frames. It performs spatiotemporal image analysis on the current and historical video frames to obtain a multi-color brightness requirement distribution map for each backlight partition, corresponding to at least the next video frame after the current one. Each backlight partition is a physical backlight partition of the multi-color partition backlight module in the display device. Based on the multi-color brightness requirement distribution map, it identifies crosstalk risk areas from each backlight partition and dynamically reassembles each backlight partition based on the multi-color brightness requirement distribution map and the crosstalk risk areas to obtain multiple logical backlight partitions. Based on these multiple logical backlight partitions... Determine a backlight partition driving strategy adapted to the content of the display device; based on a preset crosstalk model, multi-color brightness requirement distribution map, and backlight partition driving strategy, perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame to obtain the backlight driving signal corresponding to each logical backlight partition; based on the backlight driving signal, perform compensation processing on the pixel display signal corresponding to at least the next video frame to obtain the target pixel display signal; synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device to display a crosstalk-free video image on the display device.

[0010] Compared with existing technologies, the embodiments of this application have the following main advantages: By performing spatiotemporal image analysis on the current video frame and consecutive historical video frames in the video signal sequence, the multicolor brightness demand distribution of each backlight partition in at least the next video frame can be predicted in advance, enabling backlight control to shift from passive adjustment to proactive prediction, providing a data foundation for dynamic crosstalk suppression. Identifying crosstalk risk areas based on the multicolor brightness demand distribution map and dynamically recombining them to obtain logical backlight partitions allows the backlight partitions to be adapted to the image content and crosstalk distribution, improving the targeting and rationality of partition control. Determining the driving strategy adapted to the image content based on the logical backlight partitions enhances the flexibility and scene adaptability of backlight control, improving the control accuracy under high dynamic range. Using a crosstalk model to pre-attenuate and pre-compensate the first original driving signal in the crosstalk risk area can suppress optical crosstalk and electronic driving crosstalk from the source, avoiding color distortion and dark field anomalies. Synchronous compensation of the pixel display signal based on the optimized backlight driving signal can further correct display deviations, ensuring color purity and image detail. By synchronously outputting the backlight drive signal and the target pixel display signal to the drive circuit, the backlight and pixel can be coordinated and controlled, ultimately outputting a video image with no crosstalk, high image quality, and high stability on the display device. Attached Figure Description

[0011] To more clearly illustrate the solutions in this application, the accompanying drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is an exemplary system architecture diagram to which this application can be applied; Figure 2 A flowchart of an embodiment of the multi-color partition backlight driving optimization method according to this application; Figure 3 This is a schematic diagram of a structure of an embodiment of the multi-color partition backlight driving optimization device according to this application; Figure 4 This is a schematic diagram of the structure of one embodiment of the computer device according to this application. Detailed Implementation

[0013] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings of this application, are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings of this application are used to distinguish different objects, not to describe a particular order.

[0014] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0015] like Figure 1 As shown, the system architecture 100 may include a terminal device 101, a network 102, and a server 103. The terminal device 101 may be a laptop computer 1011, a tablet computer 1012, or a mobile phone 1013. The network 102 is used as a medium to provide a communication link between the terminal device 101 and the server 103. The network 102 may include various connection types, such as wired, wireless communication links, or fiber optic cables. Users can use the terminal device 101 to interact with the server 103 through the network 102 to receive or send messages, etc. Various communication client applications may be installed on the terminal device 101, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social media platform software, etc. Terminal device 101 can be various electronic devices with a display screen and support web browsing. Besides laptops 1011, tablets 1012, or mobile phones 1013, terminal device 101 can also be an e-book reader, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a laptop computer, and a desktop computer. Server 103 can be a server providing various services, such as a backend server supporting the pages displayed on terminal device 101.

[0016] It should be noted that the multi-color partition backlight driver optimization method provided in this application embodiment is generally executed by a server / terminal device, and correspondingly, the multi-color partition backlight driver optimization device is generally located in the server / terminal device. It should be understood that... Figure 1The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0017] Continue to refer to Figure 2 The flowchart illustrates an embodiment of the multi-color zone backlight driving optimization method according to this application. The multi-color zone backlight driving optimization method includes the following steps: Step S201: Receive a video signal sequence from the display device. The video signal sequence includes the current video frame and consecutive historical video frames.

[0018] Among them, display devices refer to terminal display devices equipped with multi-color zone backlight modules and liquid crystal display panels, which can complete video signal reception, processing, driving and image output. Display devices may include backlight driving units, pixel driving units, optical components and control circuits, such as LCD TVs and professional monitors equipped with RGB three-color Mini LED backlights.

[0019] Among them, the video signal sequence is a data stream formed by arranging multiple consecutive frame image signals in chronological order. It is used to carry the screen information, timing information and control instructions required by the display device. The video signal sequence can include historical frames, current frames and frames to be output, such as a video stream composed of multiple consecutive frames, a set of image signals output frame by frame, etc.

[0020] Among them, the current video frame refers to the single frame image data that the display device is currently processing or about to load and output in the video signal sequence, providing a benchmark for spatiotemporal analysis of the image and backlight prediction, such as the single frame image data that the display device is currently rendering and outputting.

[0021] Among them, historical video frames refer to multiple frames of image data that are earlier in time than the current video frame and are continuously saved in the video signal sequence. They are used to extract the trend of image change, motion characteristics and brightness change patterns, and provide a reference for the prediction of subsequent frames. For example, several frames of image data that were continuously collected before the current frame.

[0022] Step S202: Perform spatiotemporal image analysis on the current video frame and historical video frames to obtain the multi-color brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame. Each backlight partition is the physical backlight partition of the multi-color partition backlight module in the display device.

[0023] Spatiotemporal image analysis refers to the process of simultaneously analyzing and mining multi-dimensional image features in both time and space dimensions of continuous frame images (the current video frame and consecutive historical video frames) within a video signal sequence. In the time domain, it extracts dynamic change patterns, motion trends, and scene transition characteristics of the image. In the spatial domain, it extracts color, brightness, edge, and regional distribution features of a single frame, providing comprehensive feature data support for subsequent image content prediction, crosstalk risk identification, and backlight pre-control. For example, through continuous frame comparison and single-frame image analysis, comprehensive feature information such as scene changes, object motion, high-contrast areas, and bright color blocks can be obtained.

[0024] In this context, "at least the next video frame" refers to one or more consecutive frames of image data that immediately follow the current video frame and are about to be displayed in the video playback sequence. It serves as the target processing object for backlight drive signal prediction, crosstalk early suppression, and pixel signal pre-compensation. For example, if the current frame is frame N, then frame N+1 and frame N+2 can both be considered as "at least the next video frame".

[0025] In this context, each backlight zone refers to the smallest light-emitting control unit in a multi-color zone backlight module, which is divided according to its hardware structure and can independently adjust its brightness and color. Each zone corresponds to one or a group of light-emitting chips in the multi-color zone backlight module, used to achieve regionalized and refined backlight output control. For example, each independent control area in a Mini LED backlight is uniformly divided in a matrix form.

[0026] The multi-color brightness requirement distribution map can be a set of data representing the predicted target brightness values ​​for the red, green, and blue channels in each backlight zone within at least the next video frame, represented by a two-dimensional matrix or grid. This data can intuitively reflect the distribution requirements of the image content for backlight brightness and color. For example, a grid diagram can be used to represent the distribution data of the R / G / B channel brightness levels in each backlight zone.

[0027] Among them, the multi-color zone backlight module refers to a backlight component composed of multiple independently controllable multi-color LED light-emitting chip arrays, which can realize zoned brightness adjustment and multi-color mixing output. It can use RGB three-color chips as light-emitting units, and can independently adjust the brightness of each channel to achieve wide color gamut display. It is the core optical component of high dynamic range display devices. For example, the RGB three-color Mini LED array backlight module.

[0028] Physical backlight partitions refer to backlight areas divided according to the physical structure of the backlight hardware, such as chip packaging, PCB wiring, optical lenses, and optical diffusion structures. They have fixed physical locations, sizes, and light emission ranges, and are the hardware basis for logical backlight partitions, which do not change with the content of the screen.

[0029] Step S203: Based on the multi-color brightness demand distribution map, identify crosstalk risk areas from each backlight partition, and dynamically reorganize each backlight partition based on the multi-color brightness demand distribution map and crosstalk risk areas to obtain multiple logical backlight partitions.

[0030] The crosstalk risk area refers to the region in a multi-color zone backlight module where optical crosstalk (light leakage) or electronically driven crosstalk (signal coupling) is prone to occur between adjacent backlight zones due to excessive brightness differences or rapid brightness changes. This region is the core target for dynamic crosstalk suppression. By identifying this area, accurate prediction and targeted control of crosstalk can be achieved, avoiding brightness loss or control redundancy caused by indiscriminate processing.

[0031] Multiple logical backlight zones refer to multiple virtual control areas with independent driving control logic, formed by combining the physical backlight zones of the display device with the screen characteristics (such as brightness and color distribution) of the multi-color brightness requirement distribution map and the spatial distribution of crosstalk risk areas through dynamic reorganization operations such as merging and subdivision. This does not change the hardware structure of the physical backlight zones; it only achieves adaptive adjustment of zone control through software logic reconstruction. It can balance crosstalk suppression accuracy, screen display detail, and driving system efficiency, solving the deficiency of existing fixed physical zones in adapting to dynamic screen changes.

[0032] Step S204: Based on multiple logical backlight zones, determine the backlight zone driving strategy that adapts to the display device's screen content.

[0033] Among them, the backlight zone driving strategy refers to the rules and schemes formulated based on logical backlight zones, multi-color brightness requirements and crosstalk risks to control the backlight driving behavior of each logical backlight zone. It is used to guide the generation and output of driving signals of each logical zone and achieve the synergy of crosstalk suppression and image quality optimization.

[0034] Step S205: Based on the preset crosstalk model, multi-color brightness demand distribution map and backlight partition driving strategy, the first original driving signal corresponding to the crosstalk risk area in at least the next video frame is pre-attenuated and pre-compensated to obtain the backlight driving signal corresponding to each logical backlight partition.

[0035] The crosstalk model refers to a mathematical calculation model that quantifies the crosstalk propagation relationship. This model is based on the hardware characteristics, optical propagation laws, and electronic drive coupling characteristics of the multi-color zone backlight module of a display device. It is pre-formed through experimental calibration and algorithmic modeling. This model can accurately calculate the impact of the crosstalk risk zone's logical backlight partition on the optical and electronic drive crosstalk generated by adjacent partitions, and outputs quantitative data that can be used to adjust the drive signal.

[0036] Specifically, the first original drive signal corresponding to the crosstalk risk zone in at least the next video frame refers to the initial drive signal directly converted from the ideal brightness of the logical backlight partition of the crosstalk risk zone and the preset luminous characteristic parameters of the display device, without any crosstalk suppression processing (such as pre-attenuation or pre-compensation). Its signal type includes the drive current amplitude of the RGB three color channels, PWM duty cycle, etc., only matching the ideal brightness requirements, without considering the impact of crosstalk.

[0037] Among them, pre-attenuation and pre-compensation processing refers to the proactive control processing performed on the driving signals of the crosstalk risk area and its adjacent areas before crosstalk actually occurs. Pre-attenuation processing targets the crosstalk risk area and weakens the light intensity and signal fluctuations of the crosstalk source by reducing the amplitude of the driving signal. Pre-compensation processing targets the adjacent areas of the crosstalk risk area and compensates for the brightness deviation and color shift caused by crosstalk by fine-tuning the amplitude of the driving signal. The two work together to achieve source suppression and residual cancellation of crosstalk.

[0038] Among them, the backlight driving signal refers to the set of control signals that are finally output to the display device driving circuit after pre-attenuation, pre-compensation, and iterative convergence optimization, and are used to directly drive the RGB three-color LED chips of each logical backlight zone to emit light.

[0039] Step S206: Based on the backlight driving signal, perform compensation processing on the pixel display signal corresponding to at least the next video frame to obtain the target pixel display signal.

[0040] The compensation process refers to the targeted correction of the original pixel display signal of at least the next video frame based on the backlight drive signal after pre-attenuation, pre-compensation and iterative convergence optimization. The purpose is to offset the pixel display deviation caused by the adjustment of the backlight drive signal, and at the same time correct the brightness and color distortion left by crosstalk, so as to ensure that the pixel transmittance and the backlight output intensity are accurately matched, and achieve high-fidelity display of screen brightness and color.

[0041] The target pixel display signal refers to the complete pixel control signal that is finally output to the pixel driving circuit of the LCD panel of the display device after partition judgment, deviation compensation, retention processing and combination optimization. It includes the red, green and blue grayscale values ​​of each pixel, transmittance control parameters and timing synchronization information. It not only eliminates the display deviation caused by backlight adjustment and crosstalk, but also completely preserves the original details of the picture. It can be output synchronously with the backlight driving signal and work together to ensure that the final display picture is free of crosstalk, brightness shift and color distortion.

[0042] In step S207, the backlight driving signal and the target pixel display signal are synchronously output to the driving circuit of the display device to display a crosstalk-free video image on the display device.

[0043] Among them, the driving circuit is a hardware circuit that receives control signals and converts them into driving current and voltage signals that are adapted to the backlight module and the display panel. It includes a backlight driving circuit and a pixel driving circuit, which are used to realize the lighting of the light-emitting chip, brightness adjustment and pixel grayscale control, such as Mini LED backlight constant current driving chip, panel pixel driving circuit, etc.

[0044] Among them, crosstalk-free video images refer to the display effect in high dynamic range and high contrast display scenarios where there is no optical spill, color interference, or electronic drive interference between backlight zones, and the image has pure colors, no stray light or halo in dark areas, and stable brightness output. For example, in high dynamic range images, there is no colored stray light in dark areas and no color distortion at bright edges.

[0045] This application embodiment analyzes the spatiotemporal image of the current video frame and consecutive historical video frames in a video signal sequence. This allows for the prediction of the multi-color brightness demand distribution of each backlight zone in at least the next video frame, transforming backlight control from passive adjustment to proactive prediction and providing a data foundation for dynamic crosstalk suppression. Identifying crosstalk risk areas based on the multi-color brightness demand distribution map and dynamically recombining them to obtain logical backlight zones ensures that the backlight zones are adapted to the image content and crosstalk distribution, improving the targeting and rationality of zone control. Determining a driving strategy adapted to the image content based on logical backlight zones enhances the flexibility and scene adaptability of backlight control, improving the control accuracy under high dynamic range. Pre-attenuation and pre-compensation processing of the first original driving signal in the crosstalk risk area using a crosstalk model suppresses optical and electronic drive crosstalk at the source, avoiding color distortion and dark field anomalies. Synchronous compensation of the pixel display signal based on the optimized backlight driving signal further corrects display deviations, ensuring color purity and image detail. By synchronously outputting the backlight drive signal and the target pixel display signal to the drive circuit, the backlight and pixel can be coordinated and controlled, ultimately outputting a video image with no crosstalk, high image quality, and high stability on the display device.

[0046] In some optional implementations, step S202 involves performing spatiotemporal image analysis on the current video frame and historical video frames to obtain a multicolor brightness requirement distribution map corresponding to each backlight partition for at least the next video frame after the current video frame. This specifically includes the following steps: Temporal analysis is performed on the current video frame and historical video frames to obtain scene switching information, object motion speed information, and motion direction information of the corresponding video scenes, which are used as temporal features. Spatial analysis is performed on the current video frame and historical video frames to obtain high-contrast edge information, high-saturation color block area information, and brightness distribution feature information of the current video frame, which are used as spatial features. Based on the temporal and spatial features, the multi-color brightness demand distribution map corresponding to each backlight zone of at least the next video frame after the current video frame is predicted.

[0047] Temporal analysis refers to the process of calculating inter-frame differences, fitting change trends, and extracting dynamic features from multiple consecutive frames of images along the time axis in a video signal sequence, in order to uncover the changing patterns of the image content over time.

[0048] Scene switching information refers to identifying information obtained through features such as overall pixel differences between frames, sudden changes in average brightness, and dramatic changes in color distribution, which can be used to characterize whether a scene has changed in the video.

[0049] Among them, the object motion speed information refers to the characteristic parameters that quantify the speed of object movement in the picture, which are calculated by the displacement and time interval of the target object between frames. It can be used to predict the degree of brightness change.

[0050] Among them, motion direction information refers to the feature information that characterizes the movement orientation and trajectory trend of moving objects in the image, which is extracted by optical flow, block matching and other methods. It can be used to predict the brightness change area and the crosstalk diffusion direction.

[0051] Spatial domain analysis refers to the process of analyzing the pixel distribution, edge structure, color saturation distribution, and brightness gradient within a single frame of video image. It can be used to identify high-risk areas in the image that are prone to optical crosstalk.

[0052] High-contrast edge information refers to the boundary contour information of adjacent areas in a single frame where the brightness difference or grayscale difference exceeds a preset threshold. These areas are highly susceptible to optical crosstalk caused by sudden changes in backlight brightness, and are a key basis for crosstalk risk identification. Examples include the contour line where a bright target meets a dark background, and edge areas with drastic changes in brightness.

[0053] Among them, high-saturation color block area information refers to continuous pixel areas in a single frame where the red, green, and blue monochrome channels have high purity, vivid colors, and saturation exceeding a preset threshold. These areas are prone to monochrome light overflow when lit, and are the main areas that induce color crosstalk.

[0054] Among them, brightness distribution characteristic information refers to quantitative statistical data such as the average brightness, brightness gradient, proportion of bright areas, and proportion of dark areas in each region within a single frame, which are used to characterize the overall brightness structure and local brightness requirements of the image.

[0055] In one example, firstly, the current video frame and several consecutive historical video frames are acquired, and temporal analysis is performed on them along the time axis. Specifically, this involves extracting scene transition information, motion speed information, and motion direction information of objects within the video frame through inter-frame pixel difference calculation, optical flow calculation, and overall image similarity comparison. This information is then integrated to form a temporal feature set, used to characterize the dynamic change trend of the video content. Simultaneously, spatial analysis is performed on the current and historical video frames. This involves using edge detection algorithms to extract high-contrast edge information, obtaining high-saturation color block region information through RGB color space analysis and saturation threshold determination, and obtaining the brightness distribution characteristics of the image through pixel-by-pixel brightness statistics and partition mean calculation. This information is then integrated to form a spatial feature set. Subsequently, the temporal and spatial features are input into the prediction model. This prediction model can employ one or more combinations of Long Short-Term Memory Networks, Gated Recurrent Units, Recurrent Neural Networks, Support Vector Regression, Kalman Filter Models, or Multilayer Perceptrons. Through feature fusion, trend fitting, and region mapping processing, combined with the physical partitioning structure of the multi-color partitioned backlight module, the red, green, and blue brightness requirements corresponding to each physical backlight partition are predicted for at least the next video frame after the current video frame, thereby generating a complete multi-color brightness requirement distribution map.

[0056] This application's embodiments, through temporal domain analysis of the current frame and consecutive historical frames, can accurately extract dynamic features such as scene transitions, object movement speed, and direction of motion, accurately grasping the trend of image changes and improving the reliability and foresight of subsequent predictions. By extracting high-contrast edges, high-saturation color blocks, and brightness distribution features through spatial domain analysis, high-risk areas prone to optical crosstalk can be accurately located, improving the accuracy of crosstalk identification. Fusing temporal and spatial domain features for prediction allows the multi-color brightness demand distribution map to better match the actual brightness and color requirements of future frames, achieving forward-looking brightness prediction.

[0057] In some optional implementations, step S203, identifying crosstalk risk areas from each backlight zone based on the multi-color brightness demand distribution map, specifically includes the following steps: Based on the multi-color brightness demand distribution map, calculate the brightness difference and brightness change rate between adjacent backlight zones in each backlight zone; if the brightness difference is less than a preset difference threshold and the brightness change rate is less than a preset change threshold, then the corresponding boundary is determined not to belong to the crosstalk risk zone; if the brightness difference is greater than or equal to the difference threshold, or the brightness change rate is greater than or equal to the change threshold, then the corresponding boundary is determined to belong to the crosstalk risk zone; based on the determination results, the crosstalk risk zone is identified.

[0058] Among them, the brightness difference refers to the absolute value of the difference between the corresponding red, green, and blue channel brightness requirements between any two adjacent backlight zones in the multi-color brightness demand distribution map, or the absolute value of the difference between the three-color comprehensive brightness (weighted sum). It is the core quantitative parameter characterizing the degree of brightness difference between adjacent backlight zones. The larger the brightness difference, the higher the probability of optical crosstalk and the more serious the impact.

[0059] Among them, the brightness change rate refers to the change in brightness demand of adjacent backlight zones per unit time (or unit frame interval) calculated based on the multi-color brightness demand distribution map and the temporal characteristics obtained by spatiotemporal image analysis. It is used to characterize the drastic degree of brightness change between adjacent zones and is a key parameter for predicting electronic drive crosstalk. The faster the brightness change rate, the more drastic the change in backlight drive current, the higher the risk of electronic crosstalk caused by circuit coupling, and the stronger the dynamic fluctuation of crosstalk.

[0060] Among them, the difference threshold refers to the brightness difference critical value that is pre-calibrated and stored based on the hardware characteristics of the multi-color zone backlight module of the display device (such as LED chip luminous power, optical lens focal length, and light mixing distance), preset display quality standards, and crosstalk suppression targets. It is the core judgment standard for determining whether there is an optical crosstalk risk at the boundary of adjacent zones.

[0061] Among them, the change threshold refers to the critical value of the brightness change rate that is pre-calibrated and stored based on the response speed of the display device's driving circuit, the light-emitting response characteristics of the LED chip, and the crosstalk suppression target. It is the core criterion for determining whether there is a risk of electronic drive crosstalk at the boundary of adjacent partitions.

[0062] In one example, firstly, the multi-color brightness demand distribution map is called to extract the red, green, and blue brightness demand values ​​and corresponding timing information of all backlight zones in the map. Then, all adjacent backlight zones are traversed to construct a set of adjacent zone pairs to ensure that no adjacent zones are missed.

[0063] Secondly, for each pair of adjacent partitions, the absolute value of the brightness difference of each of the three color channels is calculated. Then, the brightness difference of the adjacent partitions is calculated by using preset weights (which can be set according to the luminous efficiency and crosstalk influence of the RGB three color chips). At the same time, combined with the temporal characteristics obtained from spatiotemporal image analysis, the brightness change of the pair of adjacent partitions within a unit frame interval is calculated, that is, the brightness change rate (specifically, it can be the difference between the current predicted brightness requirement of the next frame and the brightness requirement of the previous frame, divided by the frame interval time).

[0064] Then, the pre-stored difference threshold and change threshold are called (which can be adaptively adjusted according to the current scene, such as lowering the difference threshold in dark scenes and raising the change threshold in dynamic scenes) to perform a dual judgment on the brightness difference and brightness change rate of each pair of adjacent partitions: if the brightness difference is less than the difference threshold and the brightness change rate is less than the change threshold, it means that the brightness difference of the adjacent boundary is small and the change is gentle, with no crosstalk risk, and it is judged as a non-crosstalk risk boundary; if the brightness difference is greater than or equal to the difference threshold, or the brightness change rate is greater than or equal to the change threshold, it means that the boundary is prone to optical crosstalk or electronically driven crosstalk, and it is judged as a crosstalk risk boundary.

[0065] Finally, all crosstalk risk boundaries are integrated, and the corresponding partitioned areas of adjacent risk boundaries and a certain range of areas around the boundaries are integrated and marked as crosstalk risk areas. At the same time, the location, range, and corresponding brightness difference and brightness change rate data of the crosstalk risk areas can be recorded.

[0066] This application's embodiments calculate the brightness difference and brightness change rate of adjacent backlight zones based on a multi-color brightness demand distribution map, comprehensively capturing the core causes of crosstalk from both static brightness differences and dynamic change trends. By using dual difference thresholds (difference threshold and change threshold) for determination, it can accurately distinguish between crosstalk risk boundaries and non-risk boundaries, avoiding misjudgments or omissions caused by single threshold determinations and improving the accuracy of crosstalk risk identification. Integrating the determination results to identify crosstalk risk areas clarifies the core areas for crosstalk suppression, achieving precise location of crosstalk risks.

[0067] In some optional implementations, step 203, based on the multi-color brightness demand distribution map and crosstalk risk area, dynamically reorganizes each backlight partition to obtain multiple logical backlight partitions, specifically including the following steps: By analyzing the multi-color brightness demand distribution map, the pixel brightness variance and color consistency index within each backlight zone are statistically analyzed. Based on the pixel brightness variance and color consistency index, it is determined whether the current backlight zone belongs to a large area of ​​the same color, a smooth gradient area, or a target edge area. If the current backlight zone belongs to a large area of ​​the same color or a smooth gradient area, it is merged with adjacent backlight zones that meet the same conditions to form a merged logical backlight zone, which serves as the initial logical backlight zone. If the current backlight zone belongs to a target edge area or a texture area, it is subdivided according to preset partitioning rules to form a subdivided logical backlight zone, which serves as the initial logical backlight zone. Based on the location information of the crosstalk risk area, the division boundary of the initial logical backlight zone is adjusted to obtain multiple logical backlight zones.

[0068] Pixel luminance variance is a statistical quantification index obtained by dividing the sum of the squares of the differences between the luminance values ​​of all pixels within a single physical backlight zone and the average luminance value of pixels within that zone, by the total number of pixels. It is a core parameter characterizing the uniformity of luminance distribution within a zone. The smaller the variance value, the more uniform the pixel luminance within the zone and the lower the risk of crosstalk; the larger the variance value, the more drastic the luminance fluctuations within the zone, the more likely there are high-contrast edges, and the higher the risk of crosstalk.

[0069] The color consistency index refers to the degree of uniformity of the red, green, and blue color parameters (saturation and hue) of all pixels within a single backlight zone. It is a quantitative index obtained by calculating the dispersion coefficients (standard deviation / mean) of the RGB three color components of all pixels within the zone and then weighted summing them.

[0070] Among them, the target edge region refers to the area in the video frame with a clear boundary outline, light and dark distinction, or color distinction. This type of region is characterized by edge structure, and the pixel brightness or color variation within the region is concentrated at the boundary position. It mainly corresponds to the structural positions of objects, text boundaries, lines, etc. in the image. The texture region refers to the area in the image without a clear continuous boundary outline, but the overall pixel brightness and color show a fragmented and uniform variation. This type of region is characterized by fine texture, without a prominent continuous boundary structure. It mainly corresponds to the texture positions of fabric, frosting, noise, complex patterns, etc. in the video frame without clear outlines.

[0071] Among them, the merged logical backlight zone refers to a single logical control unit formed by logically merging multiple adjacent backlight zones for large areas of the same color or smooth gradient areas with small brightness variance and high color consistency. Merging reduces the number of logical zones, lowers the control complexity of the drive circuit, reduces the interaction interference of drive signals, avoids the slight brightness differences caused by independent driving of adjacent areas of the same color / gradient, improves the uniformity of the image, and eliminates the need for fine-tuning of such low crosstalk risk areas, saving system computing power.

[0072] Among them, the partitioning rules refer to a set of standardized rules that are pre-defined based on the hardware parameters of the display device, the display quality standards, and the crosstalk suppression targets, for the subdivision of backlight partitions in areas rich in detail.

[0073] Among them, subdivided logical backlight partitioning refers to dividing a single physical backlight partition into multiple smaller independent logical control units according to preset partitioning rules for target edge or texture areas with large brightness variance and low color consistency. Subdivision can improve the backlight control precision of local areas, enabling precise control of edge and texture areas with high crosstalk risk, avoiding crosstalk diffusion caused by excessively large partitions, while ensuring the fidelity of image details, and solving the problem that existing fixed partitioning cannot simultaneously achieve detail display and crosstalk suppression.

[0074] Location information refers to the complete spatial characteristic data of the crosstalk risk area in the backlight module of the display device, which may include the two-dimensional coordinate range of the crosstalk risk area, the boundary orientation, the number of physical backlight partitions covered by the risk area, and the positional relationship between the risk area and adjacent areas.

[0075] Among them, the dividing boundary refers to the virtual dividing line between logical backlight zones. It is the basis for spatial definition of logical zones. Its position can be dynamically adjusted according to the characteristics of the screen content and the location information of crosstalk risk areas, rather than being fixed.

[0076] In one example, firstly, the multi-color brightness requirement distribution map is invoked, and pixel-level data parsing is performed on each physical backlight zone one by one. The red, green, and blue brightness values ​​of all pixels in each zone are counted. The pixel brightness variance of each zone is calculated using a preset algorithm. Specifically, the average brightness value of all pixels in the zone is calculated first, and then the squared difference between each pixel brightness value and the average brightness value is calculated. The sum is then divided by the total number of pixels in the zone to obtain the brightness variance of that zone. At the same time, the RGB components of all pixels in the zone are converted to the HSV color space, the saturation and hue parameters are extracted, the dispersion coefficients of the three color components are calculated, and then the components are weighted and summed according to preset weights to obtain the color consistency index of that zone. Secondly, the pre-defined brightness variance threshold, color consistency threshold, brightness gradient threshold, and edge proportion threshold are used to determine the regional attributes of each physical backlight zone: if the brightness variance of a backlight zone is ≤ the first brightness variance threshold, the color consistency index is ≥ the first color consistency threshold, and the brightness gradient is ≤ the preset gradient threshold, it is determined to be a large area of ​​the same color; if the brightness variance is ≤ the second brightness variance threshold, the color consistency index is ≥ the second color consistency threshold, and the brightness gradient is > the preset gradient threshold, it is determined to be a smooth gradient area; if the brightness variance is > the second brightness variance threshold, the color consistency index is < the second color consistency threshold, and the high contrast edge proportion is ≥ the preset edge proportion threshold, it is determined to be a target edge area; if the brightness variance is > the second brightness variance threshold, the color consistency index is < the second color consistency threshold, and the high contrast edge proportion is < the preset edge proportion threshold, it is determined to be a textured area. Then, based on regional attributes, preliminary logical partitioning and reorganization are performed: for large areas of the same color or smooth gradient areas, backlight partitions with adjacent attributes and no crosstalk risk areas are merged to form merged logical backlight partitions, which serve as preliminary logical backlight partitions; for target edge areas and texture areas, different preset partitioning rules are used for subdivision: target edge areas use edge-aligned partitioning rules, subdividing at a 1×1 or 2×2 granularity based on high-contrast edges; texture areas use uniform grid partitioning rules, uniformly subdividing at a 2×2 or 4×4 granularity to form subdivided logical backlight partitions, which serve as preliminary logical backlight partitions. Finally, the location information of crosstalk risk areas is called to finely adjust the division boundaries of the preliminary logical backlight partitions, ensuring that crosstalk risk areas fall completely within a single logical partition, avoiding detailed areas of the image, and ensuring that the adjusted logical partitions have no overlap or omissions, ultimately resulting in multiple logical backlight partitions adapted to the image content and crosstalk risk distribution.

[0077] This application embodiment, by statistically analyzing the pixel brightness variance and color consistency index of each backlight zone, can accurately distinguish different regions of the screen from two dimensions: brightness uniformity and color consistency. This provides a quantitative basis for dynamic reassembly and avoids unreasonable partitioning caused by misjudgment of region attributes. Merging or subdividing processing based on region attributes can reduce the number of logical partitions in smooth areas, lowering driving complexity and system computing power consumption, while improving control precision in detailed areas, balancing driving efficiency and detail display. Adjusting the partition boundaries based on the location information of crosstalk risk areas ensures that crosstalk risk areas are completely enveloped by a single logical partition, improving the targeting of subsequent pre-attenuation and pre-compensation, and avoiding inaccurate crosstalk control across partitions. Overall dynamic reassembly ensures a high degree of adaptation between logical partitions and screen content and crosstalk distribution.

[0078] In some optional implementations, step S204, based on multiple logical backlight zones, determines a backlight zone driving strategy adapted to the display device's screen content, specifically including the following steps: Based on the multi-color brightness demand distribution map, the brightness demand value of each logical backlight zone is determined. If the brightness demand value is greater than or equal to the preset brightness threshold, the corresponding logical backlight zone is subjected to brightness limitation processing to obtain the limited brightness value, which is used as the target brightness value. If the brightness demand value is less than the brightness threshold, the brightness demand value is determined as the target brightness value. According to the type of each logical backlight zone and the location of the crosstalk risk area, combined with the target brightness value, the backlight drive control scheme is determined to obtain the backlight zone drive strategy adapted to the display device screen content.

[0079] Among them, the brightness requirement value refers to the overall brightness quantization value that a single logical backlight zone needs to output in at least the next video frame, which is extracted from the multi-color brightness requirement distribution map and obtained by weighted calculation. It can be obtained by weighted summation of the red, green and blue brightness components according to the luminous efficiency of the LED chip, and directly reflects the brightness requirement of the screen for that zone.

[0080] Among them, the brightness threshold refers to the brightness threshold value that is pre-calibrated and stored based on the hardware characteristics of the multi-color zone backlight module of the display device, the safe operating parameters of the driving circuit, and the critical conditions for crosstalk to occur.

[0081] Brightness limiting processing refers to the process of normalizing and constraining the brightness requirement value of a logical backlight zone when the brightness requirement value of the zone is greater than or equal to the brightness threshold in order to suppress crosstalk caused by high brightness. Specifically, it can include methods such as linear attenuation, peak clamping, and nonlinear compression.

[0082] The limited brightness value refers to the compliant brightness value obtained after the brightness requirement value of the logical backlight zone is processed by brightness limitation. This value not only meets the basic display requirements of the screen, but also falls within the safe range of crosstalk.

[0083] Among them, the type of each logical backlight partition refers to the inherent attribute of the logical partition divided according to the dynamic reorganization result, which is either a merged logical backlight partition or a subdivided logical backlight partition.

[0084] Among them, the backlight drive control scheme refers to breaking down the backlight zone drive strategy into specific drive parameters and operation details that can be executed by each logical backlight zone, which can be used to guide the drive circuit to output drive signals.

[0085] In one example, firstly, the multi-color brightness requirement distribution map is called, and data is parsed for each logical backlight zone one by one. The red, green and blue brightness components corresponding to each zone are extracted. Combined with the preset weights of the luminous efficiency of the RGB three-color LED chips, the brightness requirement value of each logical backlight zone is calculated by a weighted summation algorithm to ensure that the brightness requirement value can accurately reflect the brightness requirements of the screen for that zone.

[0086] Secondly, the system calls the pre-defined brightness threshold and compares the brightness requirement value of each logical backlight zone with the brightness threshold one by one. If the brightness requirement value of a logical zone is greater than or equal to the brightness threshold, the zone is determined to be a high-brightness zone prone to crosstalk. The brightness limiting processing module is then activated, and a preset non-linear compression algorithm is used to constrain the brightness requirement value. The limited brightness value is calculated and determined as the target brightness value for the zone. If the brightness requirement value of a logical zone is less than the brightness threshold, it means that the zone has no risk of high-brightness crosstalk. The brightness requirement value is directly determined as the target brightness value, and there is no need to perform brightness limiting processing.

[0087] Subsequently, the type (merged or subdivided) of each logical backlight zone, the coordinate range and coverage of the crosstalk risk area are obtained. Combined with the target brightness value of each zone, differentiated drive parameters are configured for logical zones of different types and with different crosstalk risks: for merged logical zones, lower drive precision and synchronous drive timing are configured to reduce drive complexity; for subdivided logical zones, higher drive precision and priority refresh timing are configured to ensure detail display; for logical zones within the crosstalk risk area, a pre-attenuation enable flag is additionally configured. The drive parameters of all zones are integrated to form a complete backlight drive control scheme, which is ultimately solidified into a backlight zone drive strategy adapted to the current screen content, providing a clear control basis for subsequent drive signal generation.

[0088] This application's embodiments determine the brightness requirement values ​​of each logical backlight zone based on a multi-color brightness requirement distribution map. This accurately captures the brightness demand of the next frame, providing precise quantitative basis for driving strategy formulation and preventing a disconnect between driving and image requirements. By determining brightness thresholds and performing brightness limiting processing, the brightness output of high-brightness zones can be constrained from the source, reducing optical spillage and electronic drive fluctuations caused by high brightness and minimizing the causes of crosstalk. By combining the logical zone type and the location of crosstalk risk areas to formulate a driving control scheme, differentiated driving regulation can be achieved, ensuring a high degree of matching between the driving method and zone characteristics and crosstalk risk, thus improving the targeting of control.

[0089] In some optional implementations, step S205, based on a preset crosstalk model, multi-color brightness demand distribution map, and backlight partition driving strategy, performs pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame to obtain the backlight driving signal corresponding to each logical backlight partition, specifically including the following steps: From the multi-color brightness demand distribution map, the ideal brightness of the logical backlight partitions corresponding to the crosstalk risk area and the logical backlight partitions corresponding to the non-crosstalk risk area is determined. Based on the preset luminous characteristic parameters of the display device, the first original driving signal corresponding to the crosstalk risk area and the second original driving signal corresponding to the non-crosstalk risk area are determined in at least the next video frame. According to the backlight partition driving strategy, using a preset crosstalk model and based on the first original driving signal, the crosstalk impact value generated by each logical backlight partition in the crosstalk risk area on adjacent logical backlight partitions is calculated. Based on the crosstalk impact value, pre-attenuation processing is performed on the original driving signal of the logical backlight partition corresponding to the crosstalk risk area to obtain... The third driving signal of the logical backlight partition corresponding to the crosstalk risk area; pre-compensation processing is performed on the logical backlight partitions adjacent to the crosstalk risk area to obtain the fourth driving signal corresponding to the logical backlight partitions adjacent to the crosstalk risk area; the fourth driving signal is used as a new input, and the crosstalk influence value calculation, pre-attenuation and pre-compensation processing are repeated until the optical output of the crosstalk risk area and the logical backlight partitions adjacent to the crosstalk risk area converges to the corresponding ideal brightness; the converged third driving signal, fourth driving signal and the second original driving signal of the non-crosstalk risk area that is not adjacent to the crosstalk risk area are integrated to obtain the backlight driving signal corresponding to each logical backlight partition.

[0090] Among them, the light emission characteristic parameters refer to the correspondence parameters between the LED driving current, voltage and light output brightness pre-calibrated by the display device, which are used for conversion calculation between driving signals and brightness.

[0091] Among them, the crosstalk impact value refers to the quantitative value of the degree of crosstalk interference generated by the crosstalk risk zone logical backlight zone to the adjacent logical backlight zone, which is calculated by the crosstalk model. The unit is consistent with the brightness unit, and it includes quantitative information of two dimensions: brightness interference and color shift.

[0092] The third driving signal refers to the driving signal obtained by performing pre-attenuation processing on the first original driving signal corresponding to the crosstalk risk area based on the crosstalk impact value. The attenuation range is determined by the crosstalk impact value and the crosstalk suppression target. The core is to reduce the luminous intensity and signal fluctuation of the crosstalk risk area and reduce the crosstalk transmission capability without affecting the brightness of the main subject of the image.

[0093] The fourth driving signal refers to the driving signal obtained after performing pre-compensation processing on the logical backlight zones adjacent to the crosstalk risk zone based on the crosstalk impact value. The compensation magnitude is equal to the crosstalk impact value but opposite in direction. The core is to cancel out the brightness deviation and color shift caused by the crosstalk risk zone, so that the actual optical output of the adjacent zones approaches the ideal brightness.

[0094] Among them, the convergence of optical output to the corresponding ideal brightness means that after multiple rounds of crosstalk influence value calculation, pre-attenuation and pre-compensation processing, the error between the actual optical output brightness of the crosstalk risk area and its adjacent logic backlight partition and the preset ideal brightness is reduced to the preset convergence threshold, and the error no longer changes significantly with the increase of the number of iterations, reaching a stable crosstalk-free state.

[0095] The integration process refers to the process of uniformly summarizing, sorting, and synchronously calibrating the third driving signal of the crosstalk risk zone and the fourth driving signal of the adjacent zone after iterative convergence optimization, together with the original driving signal of the non-crosstalk risk zone that is not affected by crosstalk (not adjacent to the crosstalk risk zone), according to the spatial location and driving timing of each logical backlight zone.

[0096] In one example, firstly, data is extracted from the multi-color brightness demand distribution map, one by one, for the logical backlight partitions corresponding to the crosstalk risk area and the logical backlight partitions corresponding to the non-crosstalk risk area. The ideal brightness of each partition in the crosstalk-free state (i.e., the target brightness that fits the content of the screen, without stray light or color shift) is determined and stored according to the logical partition number as the benchmark for subsequent crosstalk suppression and convergence judgment.

[0097] Secondly, the display device's preset light emission characteristic parameters (including the current and luminous flux curves of the RGB three-color chips, luminous efficiency, response characteristics, etc.) are called. Through the brightness and drive signal conversion algorithm, the ideal brightness of each logical partition is converted into the original drive signal corresponding to at least the next video frame. This yields the first original drive signal corresponding to the crosstalk risk area and the second original drive signal corresponding to the non-crosstalk risk area in at least the next video frame. The first and second original drive signals each contain the drive current amplitude, PWM duty cycle, and timing parameters of the three-color channels. They only match the ideal brightness and do not consider the crosstalk effect.

[0098] Then, according to the crosstalk suppression rules preset in the backlight zone driving strategy, the first original driving signal corresponding to the crosstalk risk zone is input into a preset crosstalk model. Based on a preset crosstalk coefficient matrix, the model calculates the crosstalk impact value generated by each logical backlight zone in the crosstalk risk zone on its surrounding adjacent logical backlight zones, and simultaneously quantifies the combined impact of optical crosstalk and electronic drive crosstalk to obtain the crosstalk interference quantification data of each adjacent zone. Based on the calculated crosstalk impact value, the pre-attenuation amplitude and pre-compensation amplitude are determined: for the first original driving signal corresponding to the crosstalk risk zone, pre-attenuation processing is performed according to the proportion of the crosstalk impact value to reduce the driving intensity of the crosstalk source, resulting in the third driving signal corresponding to the crosstalk risk zone; for the logical backlight zones adjacent to the crosstalk risk zone, reverse pre-compensation processing is performed according to the magnitude of the crosstalk impact value to fine-tune the driving signal amplitude and offset the brightness deviation and color shift caused by crosstalk, resulting in the fourth driving signal corresponding to the adjacent zone.

[0099] The third and fourth driving signals obtained in this round are used as new input data and input into the crosstalk model again. The steps of crosstalk influence value calculation, pre-attenuation processing, and pre-compensation processing are repeated. After each iteration, the error between the actual optical output and the ideal brightness of the crosstalk risk area and adjacent areas is calculated. If the error is greater than the preset convergence threshold, the iteration continues until the error is less than or equal to the convergence threshold, that is, the optical output of the crosstalk risk area and adjacent areas converges to the corresponding ideal brightness, and the iteration stops.

[0100] Finally, the converged third driving signal of the crosstalk risk area, the fourth driving signal of the adjacent area, and the second driving signal of the non-crosstalk risk area that are not affected by crosstalk are uniformly sorted and synchronously calibrated according to the spatial coordinates and driving timing of each logical backlight area to ensure the timing consistency of the driving signals of each area and avoid new electronic crosstalk caused by timing deviations. Finally, they are integrated to form the complete backlight driving signal corresponding to each logical backlight area.

[0101] This application's embodiments determine the ideal brightness from a multi-color brightness demand distribution map, providing a precise benchmark for crosstalk suppression and convergence judgment. The original driving signal is obtained through luminescence characteristic parameter conversion, achieving precise mapping between brightness and driving quantity, avoiding a disconnect between the driving signal and the ideal brightness. Using a crosstalk model to quantify the crosstalk impact value, the magnitude and propagation path of crosstalk can be accurately captured, avoiding image quality loss caused by blind adjustments. Pre-attenuation in risk areas and pre-compensation in adjacent areas weaken crosstalk at its source and offset residual effects, improving the targeted nature of crosstalk suppression. Iterative convergence to the ideal brightness eliminates dynamic crosstalk, ensuring the image is free of stray light and color shift. Integrating various driving signals ensures the integrity and timing synchronization of the driving signals, preventing the generation of new crosstalk.

[0102] In some optional implementations, step S206, based on the backlight driving signal, performs compensation processing on the pixel display signal corresponding to at least the next video frame to obtain the target pixel display signal, specifically including the following steps: Using the backlight driving signal, the original pixel display signal of at least the next video frame is subjected to partition judgment and brightness compensation processing; deviation compensation is performed on the original pixel display signal corresponding to the crosstalk risk area and the logical backlight partition adjacent to the crosstalk risk area to obtain the compensated pixel value; the original pixel value corresponding to the logical backlight partition that is not adjacent to the crosstalk risk area is retained; the compensated pixel value and the retained original pixel value are combined to obtain the target pixel display signal.

[0103] The partitioning and brightness compensation process refers to a complete process where, taking logical backlight partitions as units, the original pixel display signals of at least the next video frame are first classified into partitions, and then the pixel brightness is specifically corrected by adjusting the backlight drive signal of the corresponding area. Partitioning is determined by matching pixel coordinates with logical partition boundaries to clarify the logical partition type (crosstalk risk area, crosstalk risk area adjacent area, non-crosstalk risk area) of each pixel, providing a basis for differentiated compensation. Brightness compensation is based on the backlight drive signal of the corresponding partition, calculating the correction amount of the pixel signal to achieve precise coordination between pixel display and backlight output, avoiding uneven brightness and loss of detail caused by backlight adjustment.

[0104] Among them, deviation compensation refers to the reverse correction processing of the original pixel display signal for the brightness shift and color distortion caused by the pre-attenuation and pre-compensation processing of the backlight in the crosstalk risk area and the logical backlight partition adjacent to the crosstalk risk area.

[0105] The compensated pixel value refers to the pixel quantization value obtained after performing deviation compensation processing on the original pixel display signals corresponding to the crosstalk risk area and the adjacent logical backlight zones. Its value is jointly determined by the original pixel value, the backlight drive adjustment amount, and the deviation compensation coefficient. This preserves the image details of the original pixels while offsetting the deviations caused by backlight adjustment and crosstalk, ensuring that the final display effect in this area meets the ideal brightness and color requirements.

[0106] In one example, firstly, the backlight drive signals corresponding to each optimized logical backlight partition are invoked, and at the same time, the original pixel display signals of at least the next video frame are obtained. The partition judgment and brightness compensation processing flow is started: the pixel coordinates are matched with the boundary coordinates of each logical backlight partition, and the partition belonging judgment is performed for each pixel one by one to clarify the logical partition type to which each pixel belongs, such as crosstalk risk area, logical backlight partition adjacent to crosstalk risk area, or non-crosstalk risk area not adjacent to crosstalk risk area. The pixel signals are classified and stored according to the partition type.

[0107] Secondly, for the original pixel display signals belonging to the crosstalk risk zone and adjacent logical backlight zones, the backlight drive signal adjustment amount for the corresponding area is extracted. Combined with preset pixels, such as the backlight matching coefficient, a deviation compensation coefficient for each pixel is calculated. Based on this compensation coefficient, the RGB grayscale values ​​of the original pixels are reverse-corrected to eliminate brightness shifts and color distortions caused by backlight adjustments, resulting in a compensated pixel value for each pixel. Simultaneously, it is ensured that the compensated pixel values ​​are within a reasonable grayscale range, avoiding overexposure or underexposure. For the original pixel display signals belonging to logical backlight zones not adjacent to the crosstalk risk zone, since the backlight drive signal in this area has not undergone crosstalk suppression adjustment and is unaffected by crosstalk, deviation compensation processing is unnecessary. The original pixel values ​​are directly retained, reducing system computation and improving processing efficiency, while avoiding unnecessary corrections that could lead to image detail distortion.

[0108] Finally, all the obtained compensated pixel values ​​and the retained original pixel values ​​are uniformly combined and stitched according to the spatial coordinates of the pixels. The timing parameters of each pixel signal are simultaneously calibrated to ensure that the output timing of the pixel signal is completely synchronized with the output timing of the backlight drive signal. At the same time, the integrity of the combined pixel signal is checked to remove abnormal pixel values, ultimately forming a complete, accurate target pixel display signal that can be directly output to the pixel drive circuit.

[0109] This application employs backlight driving signals for zone detection and brightness compensation processing, accurately distinguishing pixels in different types of logical zones. Deviation compensation is performed on crosstalk risk areas and adjacent areas, effectively offsetting brightness shifts and color distortions caused by backlight pre-attenuation and pre-compensation, while correcting residual crosstalk defects and ensuring image detail and color purity in these areas. Pixels in non-risk areas are directly retained, reducing invalid calculations, improving system processing efficiency, and avoiding loss of image detail due to over-correction. Combining compensated pixel values ​​with retained pixel values ​​forms a complete and synchronized target pixel signal, achieving perfect matching between backlight and pixel display, eliminating display defects caused by crosstalk, and improving the display fidelity and stability of high dynamic range images.

[0110] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).

[0111] Further reference Figure 3 As a response to the above Figure 2 The implementation of the method shown in this application provides an embodiment of a multi-color partition backlight driving optimization device, which is similar to... Figure 2 Corresponding to the illustrated method embodiments, this device can be specifically applied to various electronic devices. For example... Figure 3 As shown, the multi-color zone backlight drive optimization device 400 of this embodiment includes: a receiving module 401, an analysis module 402, a recombination module 403, a determination module 404, a first processing module 405, a second processing module 406, and an output module 407. Wherein: The receiving module 401 is used to receive a video signal sequence from the display device, the video signal sequence including the current video frame and consecutive historical video frames; Analysis module 402 is used to perform spatiotemporal image analysis on the current video frame and historical video frames to obtain the multi-color brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame. Each backlight partition is the physical backlight partition of the multi-color partition backlight module in the display device. The recombination module 403 is used to identify crosstalk risk areas from each backlight partition according to the multi-color brightness demand distribution map, and dynamically recombine each backlight partition based on the multi-color brightness demand distribution map and the crosstalk risk areas to obtain multiple logical backlight partitions. The determination module 404 is used to determine the backlight partition driving strategy that adapts to the screen content of the display device based on multiple logical backlight partitions. The first processing module 405 is used to perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame based on a preset crosstalk model, multi-color brightness demand distribution map and backlight partition driving strategy, so as to obtain the backlight driving signal corresponding to each logical backlight partition. The second processing module 406 is used to perform compensation processing on the pixel display signal corresponding to at least the next video frame based on the backlight driving signal to obtain the target pixel display signal. The output module 407 is used to synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device so as to display a crosstalk-free video image on the display device.

[0112] In one embodiment, the analysis module 402 includes: The temporal analysis submodule is used to perform temporal analysis on the current video frame and historical video frames to obtain scene switching information, object motion speed information, and motion direction information of the corresponding video frames, which are used as temporal features. The spatial domain analysis submodule is used to perform spatial domain analysis on the current video frame and historical video frames to obtain high-contrast edge information, high-saturation color block area information, and brightness distribution feature information of the current video frame as spatial domain features. The prediction submodule is used to predict the multicolor brightness demand distribution map corresponding to each backlight partition in at least the next video frame after the current video frame, based on temporal and spatial features.

[0113] In one embodiment, the recombination module 403 includes: The first calculation submodule is used to calculate the brightness difference and brightness change rate between adjacent backlight zones in each backlight zone according to the multi-color brightness demand distribution map. The first determination submodule is used to determine that the corresponding boundary does not belong to the crosstalk risk area if the brightness difference is less than the preset difference threshold and the brightness change rate is less than the preset change threshold. The second determination submodule is used to determine that the corresponding boundary belongs to the crosstalk risk area if the brightness difference is greater than or equal to the difference threshold, or the brightness change rate is greater than or equal to the change threshold. The identification submodule is used to identify crosstalk risk areas based on the judgment results.

[0114] In one embodiment, the recombination module 403 includes: The statistics submodule is used to calculate the pixel brightness variance and color consistency index in each backlight zone by using the multi-color brightness demand distribution map. The judgment submodule is used to determine whether the current backlight partition belongs to a large area of ​​the same color, a smooth gradient area, or a target edge area based on the pixel brightness variance and color consistency index. The merging submodule is used to merge the current backlight partition with adjacent backlight partitions that meet the same conditions if the current backlight partition is a large area of ​​the same color or a smooth gradient area, forming a merged logical backlight partition as a preliminary logical backlight partition. The subdivision submodule is used to subdivide the current backlight partition according to the preset partitioning rules if the current backlight partition belongs to the target edge area or texture area, forming a subdivided logical backlight partition as the initial logical backlight partition. The adjustment submodule is used to adjust the division boundary of the initial logical backlight partition based on the location information of the crosstalk risk area, so as to obtain multiple logical backlight partitions.

[0115] In one embodiment, the determining module 404 includes: The first determination submodule is used to determine the brightness requirement value of each logical backlight zone based on the multi-color brightness requirement distribution map; The brightness limiting submodule is used to perform brightness limiting processing on the corresponding logical backlight zone if the brightness demand value is greater than or equal to the preset brightness threshold, and obtain the limited brightness value as the target brightness value. The second determining submodule is used to determine the brightness requirement value as the target brightness value if the brightness requirement value is less than the brightness threshold. The third determination submodule is used to determine the backlight drive control scheme based on the type of each logical backlight zone and the location of the crosstalk risk zone, combined with the target brightness value, so as to obtain a backlight zone drive strategy that is adapted to the display device screen content.

[0116] In one embodiment, the first processing module 405 includes: The fourth determination submodule is used to determine the ideal brightness of the logical backlight partition corresponding to the crosstalk risk area and the logical backlight partition corresponding to the non-crosstalk risk area from the multi-color brightness demand distribution map. The fifth determining submodule is used to determine, based on the light emission characteristic parameters preset by the display device, the first original driving signal corresponding to the crosstalk risk area and the second original driving signal corresponding to the non-crosstalk risk area in at least the next video frame; The second calculation submodule is used to calculate the crosstalk impact value of each logical backlight partition in the crosstalk risk area to the adjacent logical backlight partition based on the first original driving signal, according to the backlight partition driving strategy and through a preset crosstalk model. The pre-attenuation processing submodule is used to perform pre-attenuation processing on the original drive signal of the logical backlight partition corresponding to the crosstalk risk area based on the crosstalk impact value, so as to obtain the third drive signal of the logical backlight partition corresponding to the crosstalk risk area. The pre-compensation processing submodule is used to perform pre-compensation processing on the logical backlight partitions adjacent to the crosstalk risk area to obtain the fourth driving signal corresponding to the logical backlight partitions adjacent to the crosstalk risk area. The loop submodule is used to take the fourth driving signal as a new input and repeatedly perform crosstalk impact value calculation, pre-attenuation and pre-compensation processing until the optical output of the crosstalk risk area and the logic backlight zone adjacent to the crosstalk risk area converges to the corresponding ideal brightness. The integration submodule is used to integrate the converged third and fourth driving signals, as well as the second original driving signal of the non-crosstalk risk area that is not adjacent to the crosstalk risk area, to obtain the backlight driving signal corresponding to each logical backlight partition.

[0117] In one embodiment, the second processing module 406 includes: The processing submodule is used to perform partitioning and brightness compensation processing on the original pixel display signal of at least the next video frame using the backlight drive signal. The deviation compensation submodule is used to perform deviation compensation on the original pixel display signals corresponding to the crosstalk risk area and the logical backlight partition adjacent to the crosstalk risk area to obtain the compensated pixel value. The retention processing submodule is used to retain the original pixel values ​​corresponding to logical backlight partitions that are not adjacent to the crosstalk risk area; The combined processing submodule is used to combine the compensated pixel values ​​and the original pixel values ​​that have been retained to obtain the target pixel display signal.

[0118] To address the aforementioned technical problems, embodiments of this application also provide a computer device. Please refer to [link / reference needed]. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0119] Computer device 6 includes a memory 61, a processor 62, and a network interface 63 that are interconnected via a system bus. It should be noted that only computer device 6 with memory 61, processor 62, and network interface 63 is shown in the figure; however, it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented alternatively. Those skilled in the art will understand that the computer device described herein is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0120] The memory 61 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 61 may be an internal storage unit of the computer device 6, such as the hard disk or memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 6. Of course, the memory 61 may also include both the internal storage unit and the external storage device of the computer device 6. In this embodiment, the memory 61 is typically used to store the operating system and various application software installed on the computer device 6, such as computer-readable instructions for multi-color partition backlight drive optimization methods. In addition, memory 61 can also be used to temporarily store various types of data that have been output or will be output.

[0121] In some embodiments, processor 62 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. This processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, processor 62 is used to execute computer-readable instructions stored in memory 61 or to process data, such as computer-readable instructions for executing a multi-color partition backlight drive optimization method.

[0122] The network interface 63 may include a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the computer device 6 and other electronic devices.

[0123] This application also provides another embodiment, namely, providing a computer-readable storage medium storing computer-readable instructions that can be executed by at least one processor to cause the at least one processor to perform the steps of the multi-color partition backlight drive optimization method described above.

[0124] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of the various embodiments of this application.

[0125] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, the purpose of providing these embodiments is to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.

Claims

1. A multi-color zone backlight driving optimization method, characterized in that, Includes the following steps: Receive a video signal sequence from a display device, the video signal sequence including the current video frame and consecutive historical video frames; Spatiotemporal image analysis is performed on the current video frame and the historical video frames to obtain the multi-color brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame. Each backlight partition is the physical backlight partition of the multi-color partition backlight module in the display device. Based on the multi-color brightness demand distribution map, crosstalk risk areas are identified from each backlight partition, and based on the multi-color brightness demand distribution map and the crosstalk risk areas, each backlight partition is dynamically reorganized to obtain multiple logical backlight partitions. Based on the multiple logical backlight zones, a backlight zone driving strategy adapted to the screen content of the display device is determined. Based on the preset crosstalk model, the multi-color brightness demand distribution map and the backlight partition driving strategy, the first original driving signal corresponding to the crosstalk risk area in the at least next video frame is pre-attenuated and pre-compensated to obtain the backlight driving signal corresponding to each logical backlight partition. Based on the backlight driving signal, the pixel display signal corresponding to the at least next video frame is compensated to obtain the target pixel display signal; The backlight driving signal and the target pixel display signal are synchronously output to the driving circuit of the display device to display crosstalk-free video images on the display device.

2. The method according to claim 1, characterized in that, The step of performing spatiotemporal image analysis on the current video frame and the historical video frames to obtain the multicolor brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame specifically includes: Temporal analysis is performed on the current video frame and the historical video frames to obtain scene switching information, object motion speed information, and motion direction information of the video scenes corresponding to the current video frame and the historical video frames, which are used as temporal features. Spatial domain analysis is performed on the current video frame and the historical video frames to obtain high-contrast edge information, high-saturation color block region information and brightness distribution feature information of the current video frame, which are used as spatial domain features. Based on the temporal and spatial features, predict the multicolor brightness demand distribution map corresponding to each backlight partition of at least the next video frame after the current video frame.

3. The method according to claim 1, characterized in that, The step of identifying crosstalk risk areas from each backlight zone based on the multi-color brightness demand distribution map specifically includes: Based on the multi-color brightness demand distribution map, calculate the brightness difference and brightness change rate between adjacent backlight zones in each backlight zone; If the brightness difference is less than a preset difference threshold and the brightness change rate is less than a preset change threshold, then the corresponding boundary is determined not to belong to the crosstalk risk area. If the brightness difference is greater than or equal to the difference threshold, or the brightness change rate is greater than or equal to the change threshold, then the corresponding boundary is determined to belong to the crosstalk risk area. Based on the determination results, the crosstalk risk area is identified.

4. The method according to claim 1, characterized in that, The step of dynamically reorganizing the backlight partitions based on the multi-color brightness demand distribution map and the crosstalk risk area to obtain multiple logical backlight partitions specifically includes: Using the multi-color brightness demand distribution map, the pixel brightness variance and color consistency index within each backlight zone are statistically analyzed. Based on the pixel brightness variance and the color consistency index, it is determined whether the current backlight partition belongs to a large area of ​​the same color, a smooth gradient area, or a target edge area. If the current backlight partition is a large area of ​​the same color or a smooth gradient area, then the current backlight partition is merged with the adjacent backlight partitions that meet the same conditions to form a merged logical backlight partition, which serves as the initial logical backlight partition. If the current backlight partition belongs to the target edge region or texture region, it is further subdivided according to the preset partitioning rules to form a subdivided logical backlight partition, which serves as the initial logical backlight partition. Based on the location information of the crosstalk risk area, the division boundary of the initial logical backlight partition is adjusted to obtain multiple logical backlight partitions.

5. The method according to claim 1, characterized in that, The step of determining a backlight partition driving strategy adapted to the display device's screen content based on the plurality of logical backlight partitions specifically includes: Based on the multi-color brightness demand distribution map, the brightness demand value of each logical backlight zone is determined; If the brightness requirement value is greater than or equal to the preset brightness threshold, then the corresponding logical backlight zone is subjected to brightness limitation processing to obtain the limited brightness value, which is used as the target brightness value. If the brightness requirement value is less than the brightness threshold, then the brightness requirement value is determined as the target brightness value; Based on the type of each logical backlight zone and the location of the crosstalk risk zone, and in conjunction with the target brightness value, a backlight driving control scheme is determined to obtain a backlight zone driving strategy that adapts to the screen content of the display device.

6. The method according to claim 1, characterized in that, The step of performing pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in at least the next video frame, based on the preset crosstalk model, the multi-color brightness demand distribution map, and the backlight partition driving strategy, to obtain the backlight driving signal corresponding to each logical backlight partition, specifically includes: From the multi-color brightness demand distribution map, determine the ideal brightness of the logical backlight partition corresponding to the crosstalk risk area and the logical backlight partition corresponding to the non-crosstalk risk area; Based on the light emission characteristic parameters preset by the display device, determine the first original driving signal corresponding to the crosstalk risk area and the second original driving signal corresponding to the non-crosstalk risk area in the at least next video frame; According to the backlight partition driving strategy, based on the first original driving signal and a preset crosstalk model, the crosstalk impact value of each logical backlight partition in the crosstalk risk area on the adjacent logical backlight partition is calculated. Based on the crosstalk impact value, the original drive signal of the logical backlight partition corresponding to the crosstalk risk area is pre-attenuated to obtain the third drive signal of the logical backlight partition corresponding to the crosstalk risk area. Perform pre-compensation processing on the logical backlight partitions adjacent to the crosstalk risk area to obtain the fourth driving signal corresponding to the logical backlight partitions adjacent to the crosstalk risk area; Using the fourth driving signal as a new input, the crosstalk impact value calculation, pre-attenuation and pre-compensation processing are repeatedly performed until the optical output of the crosstalk risk area and the logic backlight zone adjacent to the crosstalk risk area converges to the corresponding ideal brightness. The converged third and fourth driving signals, as well as the second original driving signal of the non-crosstalk risk region that is not adjacent to the crosstalk risk region, are integrated to obtain the backlight driving signal corresponding to each logical backlight partition.

7. The method according to claim 1, characterized in that, The step of compensating the pixel display signal corresponding to at least the next video frame based on the backlight driving signal to obtain the target pixel display signal specifically includes: The backlight driving signal is used to perform partitioning and brightness compensation processing on the original pixel display signal of at least the next video frame; Deviation compensation is performed on the original pixel display signals corresponding to the crosstalk risk area and the logical backlight partition adjacent to the crosstalk risk area to obtain the compensated pixel value; The original pixel values ​​corresponding to logical backlight partitions that are not adjacent to the crosstalk risk area are preserved. The compensated pixel value and the original pixel value that has been retained are combined to obtain the target pixel display signal.

8. A multi-color zone backlight driving optimization device, characterized in that, include: The receiving module is used to receive a video signal sequence from the display device, the video signal sequence including the current video frame and consecutive historical video frames; The analysis module is used to perform spatiotemporal image analysis on the current video frame and the historical video frames to obtain a multi-color brightness requirement distribution map corresponding to each backlight partition of at least the next video frame after the current video frame. Each backlight partition is a physical backlight partition of the multi-color partition backlight module in the display device. The recombination module is used to identify crosstalk risk areas from each backlight partition according to the multi-color brightness demand distribution map, and dynamically recombine each backlight partition based on the multi-color brightness demand distribution map and the crosstalk risk areas to obtain multiple logical backlight partitions. The determining module is used to determine a backlight partition driving strategy that adapts to the screen content of the display device based on the plurality of logical backlight partitions. The first processing module is used to perform pre-attenuation and pre-compensation processing on the first original driving signal corresponding to the crosstalk risk area in the at least next video frame based on the preset crosstalk model, the multi-color brightness demand distribution map and the backlight partition driving strategy, so as to obtain the backlight driving signal corresponding to each logical backlight partition. The second processing module is used to perform compensation processing on the pixel display signal corresponding to the at least next video frame based on the backlight driving signal to obtain the target pixel display signal; The output module is used to synchronously output the backlight driving signal and the target pixel display signal to the driving circuit of the display device so as to display crosstalk-free video images on the display device.

9. A computer device, characterized in that, The method includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor executes the computer-readable instructions to implement the steps of the multi-color partition backlight driving optimization method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the multi-color partition backlight drive optimization method as described in any one of claims 1 to 7.

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