Low-delay Mini LED backlight control method and system

Abstract

The invention discloses a low-delay Mini LED backlight source control method and system, and belongs to the technical field of LED backlight sources, and the method comprises the following steps: obtaining each low-gray-scale brightness region; obtaining a low-gray-scale brightness distortion judgment result and each low-gray-scale brightness distortion region; the PWM duty ratio correction factor of each low-gray-scale brightness distortion area is obtained, PWM duty ratio iterative adjustment is carried out, a PWM duty ratio iterative adjustment judgment result is obtained, if the PWM duty ratio iterative adjustment judgment result is qualified, processing is completed, and otherwise, exposure duration adjustment is executed; if the halo judgment result is qualified, halo improvement treatment is not carried out, and otherwise, halo improvement treatment is carried out; the brightness distortion and halo influence of the Mini LED backlight source in a low-gray-scale scene can be accurately restored, and the problem of halo caused by low-gray-scale brightness distortion and partition edge sudden change due to insufficient control precision in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of LED backlight technology, and in particular to a low-latency Mini LED backlight control method and system. Background Art

[0002] The existing Mini LED backlight control system obtains the image RGB data and processes the color components. After extracting the brightness data, it corrects and maps the backlight values ​​to generate driving data, and then outputs it to the LCD panel and backlight source to achieve driving and brightness control of the Mini LED backlight source.

[0003] For example, the Chinese invention patent publication number CN114495842B discloses a liquid crystal display device and driving method based on a Mini LED backlight and local dimming. The method includes: obtaining an image RBG data stream; processing each color component of the image RBG data stream; performing an RBG to YCbCr conversion on the image RBG data stream to extract an image brightness data stream; correcting the backlight value; mapping the 8-bit backlight value to obtain a 12-bit driving value; and outputting the processed image RBG data stream to the display portion of the liquid crystal display device. The driving value is then output to the backlight panel.

[0004] For example, the Chinese invention patent with announcement number CN116453471A discloses a channel current control device and method for a mini LED backlight source, including: a control unit for providing a corresponding reference voltage signal, a pulse width modulation signal and a digital current setting signal to each mini LED channel in the mini LED backlight source; and for each mini LED channel, the channel current control device includes: a constant current control unit, a high-voltage transistor and a low-voltage transistor, wherein the high-voltage transistor is connected in series between multiple LEDs and the low-voltage transistor in the mini LED channel, and the gate of the high-voltage transistor receives a pulse width modulation signal, the input end of the constant current control unit receives the reference voltage signal, the pulse width modulation signal and the digital current setting signal, and the output end of the constant current control unit is connected to the low-voltage transistor to achieve current regulation and constant current control of the mini LED channel.

[0005] However, in the process of implementing the technical solutions of the embodiments of the present application, the present application discovered that the above technology has at least the following technical problems:

[0006] In the existing technology, when controlling the Mini LED backlight source, the focus is usually only on mapping and adjusting the overall image brightness. However, the low grayscale brightness area is insensitive to the current response and has low adjustment accuracy, which makes it very easy for the brightness to deviate from the target value. At the same time, if there is a large brightness mutation between adjacent light-controlled areas, it is easy to form a halo effect visually, seriously affecting the display uniformity and picture quality experience. Therefore, there are problems of low grayscale brightness distortion caused by insufficient control accuracy and halo caused by mutations at the partition edges. Summary of the Invention

[0007] In order to solve the problems of low-grayscale brightness distortion and halo caused by sudden changes in partition edges due to insufficient control accuracy in the existing technology, the embodiments of the present invention provide a low-latency Mini LED backlight control method and system. The technical solution is as follows:

[0008] On the one hand, a low-latency Mini LED backlight control method is provided, which includes: the Mini LED central processing unit calls the current image frame and divides the light control area to obtain each light control area, and performs brightness screening on each light control area to obtain each low grayscale brightness area; obtains the actual brightness value of each low grayscale brightness area and compares it with the target brightness value to obtain a low grayscale brightness distortion judgment result and each low grayscale brightness distortion area; obtains the brightness distortion influencing parameter of each low grayscale brightness distortion area, analyzes to obtain the PWM duty cycle correction factor of each low grayscale brightness distortion area, and performs PWM duty cycle iterative adjustment to obtain a PWM duty cycle iterative adjustment judgment result. If the PWM duty cycle iterative adjustment judgment result is qualified, the processing is completed, otherwise, the exposure time adjustment is performed; obtains the brightness difference between each adjacent low grayscale brightness distortion area after distortion improvement adjustment, and analyzes to obtain a halo judgment result. If the halo judgment result is qualified, the halo improvement processing is not performed, otherwise, the halo improvement processing is performed; the distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure time adjustment.

[0009] On the other hand, a low-latency Mini LED backlight control system is provided, which includes: a low grayscale brightness area determination module, a low grayscale brightness distortion area screening module, a distortion improvement adjustment module and a halo improvement processing module; wherein the low grayscale brightness area determination module is used for Mini The LED central processing unit retrieves the current image frame and divides the light control area into light control areas to obtain light control areas. The light control areas are then brightness-screened to obtain low-grayscale brightness areas. A low-grayscale brightness distortion area screening module is configured to obtain the actual brightness value of each low-grayscale brightness area and compare it with the target brightness value to obtain a low-grayscale brightness distortion determination result and each low-grayscale brightness distortion area. A distortion improvement adjustment module is configured to obtain brightness distortion influencing parameters of each low-grayscale brightness distortion area, analyze and obtain a PWM duty cycle correction factor for each low-grayscale brightness distortion area, perform iterative adjustment of the PWM duty cycle based on the obtained parameters, and obtain a PWM duty cycle iterative adjustment determination result. If the PWM duty cycle iterative adjustment determination result is qualified, the process is completed; otherwise, the exposure time adjustment is performed. A halo improvement processing module is configured to obtain the brightness difference between adjacent low-grayscale brightness distortion areas after the distortion improvement adjustment and analyze and obtain a halo determination result. If the halo determination result is qualified, halo improvement processing is not performed; otherwise, halo improvement processing is performed. The distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure time adjustment.

[0010] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0011] 1. The low-latency Mini LED backlight control method provided by the present invention achieves accurate identification and graded adjustment of low-grayscale brightness distortion and halo problems by dividing light control areas, identifying low-grayscale brightness areas, determining brightness distortion, and analyzing halo based on image frames. This accurately restores the brightness distortion and halo effects of the Mini LED backlight in low-grayscale scenes, effectively solving the problems of low-grayscale brightness distortion and halo caused by sudden changes in partition edges due to insufficient control accuracy in the prior art.

[0012] 2. The present invention obtains the brightness distortion impact value by analyzing the brightness distortion impact parameter, and then obtains the PWM duty cycle correction factor based on the brightness distortion impact value and the database matching, thereby realizing differentiated adjustment for different distortion areas, effectively improving the accuracy and consistency of low grayscale brightness control.

[0013] 3. The present invention obtains the halo adjustment influence value by analyzing the halo adjustment influence parameters of adjacent low-grayscale light-controlled areas, and determines the brightness adjustment influence factor in combination with the brightness difference change trend, thereby obtaining the actual width of edge fusion, and then realizing dynamic correction control of the boundary halo intensity, thereby effectively improving the halo transition problem between light-controlled areas and enhancing the naturalness and uniformity of the picture edge display.

[0014] 4. The present invention sets a minimum controllable brightness threshold and compares and screens the target brightness values ​​of each light-controlled area to identify the low grayscale brightness area, and then obtains the distorted area through difference analysis and brightness difference threshold determination, and subdivides it into brighter areas and darker distorted areas, thereby providing a basic zoning basis for subsequent targeted adjustments, avoiding large-scale misadjustments or error diffusion in areas with insufficient brightness accuracy, and improving the adjustment efficiency and stability of the Mini LED backlight system under low grayscale brightness control. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A flow chart of a low-latency Mini LED backlight control method provided in an embodiment of the present application;

[0017] Figure 2 A macroscopic flow chart of a low-latency Mini LED backlight control method provided in an embodiment of the present application;

[0018] Figure 3 This is a flowchart of an exposure duration adjustment method for a low-latency Mini LED backlight source control method provided in an embodiment of the present application;

[0019] Figure 4 A schematic diagram of the structure of a low-latency Mini LED backlight control system provided in an embodiment of the present application;

[0020] Figure 5 A schematic diagram of low-grayscale area analysis of a low-latency Mini LED backlight control system provided in an embodiment of the present application;

[0021] Figure 6 This is an enlarged schematic diagram of the distortion detection results in the low grayscale area of ​​a low-latency Mini LED backlight control system provided in an embodiment of the present application;

[0022] Figure 7 A schematic diagram showing the position of a low grayscale distortion area of ​​a low-latency Mini LED backlight control system provided in an embodiment of the present application;

[0023] Figure 8A schematic diagram comparing the correction and adjustment effects of the low grayscale distortion area of ​​a low-latency Mini LED backlight control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0025] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0026] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.

[0027] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0028] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0029] like Figure 1As shown, a flow chart of a low-latency Mini LED backlight control method provided by an embodiment of the present application is provided. The method includes the following steps: the Mini LED central processing unit retrieves the current image frame and divides the light control area to obtain each light control area, performs brightness screening on each light control area to obtain each low grayscale brightness area; obtains the actual brightness value of each low grayscale brightness area and compares it with the target brightness value to obtain a low grayscale brightness distortion judgment result and each low grayscale brightness distortion area; obtains the brightness distortion influencing parameter of each low grayscale brightness distortion area, analyzes to obtain the PWM duty cycle correction factor of each low grayscale brightness distortion area, performs iterative adjustment of the PWM duty cycle, and obtains a PWM duty cycle iterative adjustment judgment result. If the PWM duty cycle iterative adjustment judgment result is qualified, the processing is completed; otherwise, the exposure time adjustment is performed; obtains the brightness difference between each adjacent low grayscale brightness distortion area after the distortion improvement adjustment, and analyzes to obtain a halo judgment result. If the halo judgment result is qualified, the halo improvement processing is not performed; otherwise, the halo improvement processing is performed; the distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure time adjustment.

[0030] In this embodiment, it should be noted that the differences obtained by performing the difference processing are all positive values.

[0031] like Figure 2 As shown, Figure 2 This is a macroscopic flow chart of a low-latency Mini LED backlight control method provided in an embodiment of the present application. The Mini LED central processing unit retrieves the current image frame and analyzes it to obtain each light-controlled area, performs brightness screening on each light-controlled area to obtain each low-grayscale brightness area, performs distortion judgment on each low-grayscale brightness area to obtain a low-grayscale brightness distortion judgment result and each low-grayscale brightness distortion area, obtains the brightness distortion influencing parameter of each low-grayscale brightness distortion area, analyzes to obtain a PWM duty cycle correction factor of each low-grayscale brightness distortion area, and performs iterative adjustment of the PWM duty cycle to obtain a PWM duty cycle iterative adjustment judgment result. If the PWM duty cycle iterative adjustment judgment result is qualified, the processing is completed; otherwise, the exposure time adjustment is performed, and the halo judgment result is obtained after processing. If the halo judgment result is qualified, the halo improvement processing is not performed. If the halo judgment result is unqualified, the halo improvement processing is performed, and thus the process is completed.

[0032] It should be noted that PWM stands for Pulse Width Modulation, specifically a driving dimming method used to control the brightness output of Mini LED backlights. During the image quality inspection process before LCD TVs leave the factory, when faced with low-grayscale scenes (such as night scenes, rainy nights, and other dark and detailed images), Mini LED backlights often suffer from image distortion due to insufficient control accuracy when driven at low brightness. This is manifested as overexposure or underexposure of low-grayscale brightness. The main causes of this distortion include: insufficient PWM duty cycle resolution at low grayscale, resulting in high or low brightness output; insufficient initial drive current or excessively large minimum current step size, resulting in the inability to effectively drive the LEDs in some areas; large brightness differences between adjacent subareas and poor edge blending, further causing halo interference and sudden brightness changes between areas. To address the above issues, this solution introduces a method for determining and correcting low-grayscale brightness distortion areas and parameters. By analyzing parameters such as brightness difference, target grayscale, starting drive current, and PWM duty cycle, the distortion type and area range are determined. The brightness is gradually adjusted based on the actual edge fusion width, ultimately obtaining a reasonable PWM duty cycle correction factor to achieve compensation adjustment for the distorted area. This effectively improves the brightness control accuracy of Mini LED in low-grayscale image scenarios, ensures image detail and display consistency, and avoids display anomalies such as halo, whitening, and black blockage.

[0033] The Mini LED central processing unit calls the current image frame and divides the light control area to obtain each light control area. The specific method is as follows: the Mini LED central processing unit calls the current image frame, obtains the resolution of the current image frame (for example, 1920×1080 resolution), matches the resolution of the current image frame with the preset resolution in the database, and if the resolution of the current image frame is the same as the preset resolution in the database, obtains the partition layout corresponding to the resolution (such as 32×18 partitions) and divides it to obtain each light control area.

[0034] like Figure 5 、 Figure 6 、 Figure 7 As shown, Figure 5 Schematic diagram of low grayscale area analysis of a low-latency Mini LED backlight control system provided in an embodiment of the present application, Figure 6 A schematic diagram showing an enlarged result of low-grayscale area distortion detection of a low-latency Mini LED backlight control system provided in an embodiment of the present application.

[0035] Figure 7This is a schematic diagram showing the location of low-grayscale distortion areas in a low-latency Mini LED backlight control system provided by an embodiment of the present application. The figure shows that by dividing the image displayed on the Mini LED display into several regions (e.g., 32×18 partitions) and analyzing them, the brightness value of each region, the corresponding distortion type of each grayscale distortion region, and the coordinates of the distortion region corresponding to each distortion type can be obtained. The model name of the device performing the distortion detection and the corresponding resolution can also be seen.

[0036] Furthermore, each low grayscale brightness area is obtained. The specific method is: obtain the target brightness value of each light-controlled area; obtain the minimum controllable brightness threshold preset in the database, and compare it with the target brightness value of each light-controlled area. If there is a light-controlled area whose target brightness value is less than the minimum controllable brightness threshold, then the light-controlled area is marked as a low grayscale brightness area, thereby obtaining the low grayscale brightness areas by statistics.

[0037] In this embodiment, it should be noted that the target brightness value of the controllable area refers to the ideal display brightness value of the image frame to be displayed in the controllable area, where each controllable area has a corresponding target brightness value. The minimum controllable brightness refers to the lower limit of the minimum brightness value that the system can stably control and output in the Mini LED backlight system.

[0038] During the Mini LED backlight fine-tuning process, low-grayscale brightness areas are prone to brightness distortion because their target brightness values ​​are close to the system's minimum controllable brightness and are affected by factors such as driver accuracy, current control step size, and system response errors. Therefore, this solution compares the target brightness values ​​of each control area with the preset minimum controllable brightness threshold to pre-identify and demarcate low-grayscale brightness areas with brightness output risks. On the one hand, this allows subsequent complex adjustment logic, such as brightness distortion analysis, PWM duty cycle adjustment, and exposure correction, to be focused on areas with real potential problems, avoiding performance waste and interference misjudgments caused by uniformly processing all areas, thereby improving processing efficiency and response speed. On the other hand, by structurally marking low-grayscale brightness areas, a clear target area foundation can be provided for subsequent distortion adjustment and halo improvement, facilitating targeted adjustments, enhancing the stability and consistency of brightness control under low-grayscale conditions, and fundamentally suppressing distortion propagation and visual anomalies.

[0039] Furthermore, a low-grayscale brightness distortion determination result and each low-grayscale brightness distortion area are obtained. The specific method is as follows: obtaining an actual brightness value of each low-grayscale brightness area and performing absolute difference processing with a target brightness value to obtain a target brightness difference value of each low-grayscale brightness area; obtaining a brightness difference threshold preset in a database and comparing the threshold with the target brightness difference value of each low-grayscale brightness area to obtain a low-grayscale brightness distortion determination result; if there is a low-grayscale brightness area with a target brightness difference value less than the brightness difference threshold, the low-grayscale brightness distortion determination result of the low-grayscale brightness area is normal; otherwise, the low-grayscale brightness distortion determination result of the low-grayscale brightness area is abnormal, and the low-grayscale brightness area with an abnormal low-grayscale brightness distortion determination result is marked as a low-grayscale brightness distortion area, thereby obtaining each low-grayscale brightness distortion area by statistics; comparing the brightness value of each low-grayscale brightness distortion area with a target brightness value, marking a low-grayscale brightness distortion area with a brightness value greater than the target brightness value as a bright distortion area, and marking a low-grayscale brightness distortion area with a brightness value less than the target brightness value as a dark distortion area.

[0040] In this embodiment, the actual brightness value of each low grayscale brightness region refers to the brightness value of each low grayscale brightness region that is realized in display.

[0041] By performing absolute difference processing on the actual brightness value of each low-grayscale brightness area and the target brightness value (taking the absolute value of the difference), and introducing a preset brightness difference threshold to determine whether there is brightness distortion, it is possible to effectively identify brightness output deviations, thereby accurately dividing low-grayscale brightness distortion areas with display errors. By dividing the low-grayscale brightness distortion areas, the brightness distortion areas can be adjusted in a targeted manner to avoid over-processing of non-distorted areas, thereby improving overall efficiency. By re-analyzing the low-grayscale brightness distortion areas and further subdividing them into bright distortion areas and dark distortion areas, the directionality and adjustment range of subsequent adjustments can be clarified. For bright areas, the driving parameters can be appropriately reduced, while for dark areas, the luminous driving capability needs to be enhanced, thereby avoiding blind adjustments, effectively improving the ability to restore low-brightness details, and enhancing the layering and consistency of dark areas of the image.

[0042] Furthermore, the PWM duty cycle correction factor of each low grayscale brightness distortion area is specifically obtained by: obtaining the brightness distortion influencing parameters of each low grayscale brightness distortion area, the brightness distortion influencing parameters including the starting drive current, the minimum current step, the system refresh frequency and the grayscale adjustment step; obtaining a brightness distortion influencing baseline set preset in the database, and performing comparative analysis with the brightness distortion influencing parameters of each low grayscale brightness distortion area to obtain comparative analysis results, introducing corresponding weighting factors based on the comparative analysis results for coupling processing to obtain the brightness distortion influencing value of each low grayscale brightness distortion area; matching the brightness distortion influencing value of each low grayscale brightness distortion area with the database to obtain the PWM duty cycle correction factor of each low grayscale brightness distortion area; the brightness distortion influencing baseline set includes the starting drive current baseline value, the minimum current step baseline value, the system refresh frequency baseline value and the grayscale adjustment step baseline value.

[0043] In this embodiment, the starting drive current refers to the minimum current value used when driving the initial brightness of the control light area. The minimum current step size refers to the smallest unit of current change and determines the precision of brightness adjustment. The system refresh rate refers to the frequency of backlight driver updates. The higher the frequency, the more timely the dimming response. The grayscale adjustment step size indicates the accuracy of the grayscale adjustment of the PWM signal. The smaller the step size, the finer the control. The starting drive current and the minimum current step size can be adjusted through the Mini LED driver chip register. The system refresh rate can be read from the control system background, and the grayscale adjustment step size can be queried in the controller software configuration interface.

[0044] The brightness distortion impact value of each low grayscale brightness distortion area is obtained by:

[0045] ;

[0046] Where H Yi Indicates the brightness distortion impact value of the i-th low grayscale brightness distortion area, i represents the number of the low grayscale brightness distortion area, i=1,2,3,...,i max ,i max Indicates the total number of low grayscale brightness distortion areas, QI i Indicates the starting driving current of the ith low grayscale brightness distortion area, HQ represents the starting driving current baseline value, BI i Indicates the minimum current step size in the ith low grayscale brightness distortion area, HB indicates the minimum current step size baseline value, PI i Indicates the system refresh frequency of the ith low grayscale brightness distortion area, HP represents the system refresh frequency baseline value, TI irepresents the grayscale adjustment step of the i-th low grayscale brightness distortion area, HT represents the grayscale adjustment step baseline value, μ1 represents the starting driving current weighting factor, μ2 represents the minimum current step weighting factor, μ3 represents the system refresh frequency weighting factor, and μ4 represents the grayscale adjustment step weighting factor.

[0047] By analyzing the brightness distortion influencing parameters including the starting drive current, minimum current step, system refresh frequency and grayscale adjustment step, the brightness distortion impact value of each low grayscale brightness distortion area is obtained. This is based on the mutual influence relationship between these parameters. For example: the smaller the starting drive current, the lower the starting point of the response to the low grayscale signal, but it is also more likely to cause insufficient current drive and brightness loss; the larger the minimum current step, the worse the dimming accuracy, which is easy to cause brightness jump and aggravate low grayscale errors; the lower the refresh frequency, the lower the time resolution of PWM dimming at low grayscale, resulting in reduced grayscale adjustment stability; the larger the grayscale adjustment step, the coarser the brightness adjustment range, and it is difficult to achieve low grayscale linear transition.

[0048] The starting drive current weighting factor, the minimum current step weighting factor, the system refresh frequency weighting factor, and the grayscale adjustment step weighting factor can be obtained from a database. For example, the starting drive current weighting factor can be obtained by obtaining a set of historical starting drive currents stored in the database and analyzing them. Each historical starting drive current in the historical starting drive current set is subjected to difference processing (taking the absolute value of the difference) with the starting drive current to obtain each historical starting drive current difference. A starting drive current difference threshold interval preset in the database is obtained and compared with each historical starting drive current difference. If a historical starting drive current difference falls within the starting drive current difference threshold interval, the historical starting drive current corresponding to the historical starting drive current difference is obtained and marked as a historical reference starting drive current, thereby obtaining each historical reference starting drive current. Each historical reference starting drive current is subjected to extreme value processing (removing the maximum and minimum values) and then a standard deviation is taken to obtain a standard deviation of the historical reference starting drive current. Obtain the historical reference starting drive current weighting factor, the historical control starting drive current standard deviation benchmark, the historical starting drive current control standard deviation difference gradient and the starting drive current weighting factor single-stage adjustment amount preset in the database, and perform difference processing on the historical control starting drive current standard deviation and the historical control starting drive current standard deviation benchmark value to obtain the historical control starting drive current standard deviation difference, perform multiple analysis on the historical control starting drive current standard deviation difference and the historical starting drive current control standard deviation difference gradient (divide the historical control starting drive current standard deviation difference by the historical starting drive current control standard deviation difference gradient) to obtain the historical starting drive current control standard deviation difference gradient multiple, and divide the historical control starting drive current standard deviation difference by the historical starting drive current control standard deviation difference gradient. The comprehensive adjustment of the starting drive current weighting factor is obtained by multiplying the gradient multiplier of the historical starting drive current standard deviation by the single-level adjustment of the starting drive current weighting factor. Based on a comparison of the historical starting drive current standard deviation with the historical starting drive current standard deviation baseline value, if the historical starting drive current standard deviation is greater than the historical starting drive current standard deviation baseline value, the historical reference starting drive current weighting factor is added to the comprehensive adjustment of the starting drive current weighting factor to obtain the starting drive current weighting factor. Otherwise, the historical reference starting drive current weighting factor is subtracted from the comprehensive adjustment of the starting drive current weighting factor to obtain the starting drive current weighting factor. The single-level adjustment of the starting drive current weighting factor refers to the increase in the gradient of the historical starting drive current standard deviation for each level increase in the gradient of the historical starting drive current standard deviation. The gradient of the historical starting drive current standard deviation refers to the difference between the minimum values ​​of two adjacent gradient intervals. Other weighting factors, such as the minimum current step weighting factor, the system refresh rate weighting factor, and the grayscale adjustment step weighting factor, are obtained in the same manner as the starting drive current weighting factor.

[0049] By comparing and analyzing the brightness distortion influencing parameters with the preset baseline set and introducing a weighting factor to calculate the PWM duty cycle correction factor, the PWM duty cycle can be precisely adjusted according to the specific control characteristics of different distortion areas, achieving more detailed brightness control.

[0050] Furthermore, the PWM duty cycle is iteratively adjusted to obtain a PWM duty cycle iterative adjustment judgment result. The specific method is: based on the PWM duty cycle correction factor of each low grayscale brightness distortion area, the PWM duty cycle of each low grayscale brightness distortion area is adjusted respectively. If a low grayscale brightness distortion area is a bright distortion area, the PWM duty cycle is reduced and adjusted based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area; if a low grayscale brightness distortion area is a dark distortion area, the PWM duty cycle is reduced and adjusted based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area. The PWM duty cycle correction factor is used to increase the PWM duty cycle; the brightness value of each low grayscale brightness distortion area after PWM duty cycle adjustment is obtained and compared with the target brightness value. If the brightness value of a low grayscale brightness distortion area after PWM duty cycle adjustment is equal to the target brightness value, the PWM duty cycle iterative adjustment is completed for the low grayscale brightness distortion area. If the brightness value of a low grayscale brightness distortion area after PWM duty cycle iterative adjustment is less than the target brightness value, the PWM duty cycle adjustment is continued for the low grayscale brightness distortion area, and the area is marked Recorded as iterative execution area, thereby obtaining each iterative execution area; obtaining the brightness value after two adjacent iterative adjustments of the PWM duty cycle of each iterative execution area, and performing difference analysis to obtain the adjacent iterative adjustment brightness difference value of each iterative execution area; obtaining the iterative adjustment brightness difference threshold preset in the database, and comparing it with the adjacent iterative adjustment brightness difference value of each iterative execution area, to obtain the PWM duty cycle iterative adjustment judgment result, if there is an iterative execution area whose adjacent iterative adjustment brightness difference value is below the iterative adjustment brightness difference threshold, then the PWM duty cycle iterative adjustment judgment result of the iterative execution area is qualified; if there is an iterative execution area whose adjacent iterative adjustment brightness difference value is greater than the iterative adjustment brightness difference threshold, then the PWM duty cycle iterative adjustment judgment result of the iterative execution area is unqualified, and the iterative execution area is marked as an exposure adjustment execution area, thereby obtaining each exposure adjustment execution area. In this embodiment, the PWM duty cycle is reduced and adjusted based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area, and the specific method is: Wherein, PZ1 represents the PWM duty cycle after the PWM duty cycle is reduced and adjusted, PZ0 represents the initial PWM duty cycle, and r1 represents the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area.

[0051] The PWM duty cycle is adjusted based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area. The specific method is: Wherein, PZ1 represents the PWM duty cycle after the PWM duty cycle is reduced and adjusted, PZ0 represents the initial PWM duty cycle, and r1 represents the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area.

[0052] It should be noted that if there is a low-grayscale brightness distortion area where the brightness value after iterative adjustment of the PWM duty cycle is less than the target brightness value, the low-grayscale brightness distortion area continues to perform PWM duty cycle adjustment. This is because the brightness value of the low-grayscale brightness distortion area has not reached the target brightness value during the current PWM duty cycle adjustment. Therefore, it is necessary to continue iterative adjustment so that the brightness value of the low-grayscale brightness distortion area gradually approaches the target brightness value.

[0053] By obtaining the brightness values ​​after two adjacent PWM duty cycle iterative adjustments in each iterative execution area and performing a difference degree analysis, the brightness difference degree values ​​of adjacent iterative adjustments in each iterative execution area are obtained. This is because the brightness change value adjusted by only iteratively adjusting the PWM duty cycle has a certain limit. If the brightness difference degree values ​​of adjacent iterative adjustments in the iterative execution area are below the iterative adjustment brightness difference degree threshold, it means that the brightness value has achieved the best effect by iteratively adjusting the PWM duty cycle. At this time, if the obtained brightness value is still less than the target brightness value, it is necessary to adjust the exposure time to achieve the brightness value adjustment.

[0054] In the exposure adjustment execution area where brightness distortion still exists after PWM duty cycle adjustment, the introduction of exposure duration adjustment can further fine-tune the illumination energy. This is because the exposure duration directly determines the effective luminous duration of each frame image within the visual perception time. Therefore, when the PWM duty cycle is constant, by appropriately extending or shortening the exposure duration, the luminous flux output per unit time can be effectively adjusted, thereby achieving an increase or decrease in brightness. Compared with PWM adjustment that only controls the duty cycle, exposure duration adjustment provides another means of controlling brightness from a time dimension, which can compensate for the brightness distortion problem caused by the limited accuracy of PWM adjustment in low grayscale areas.

[0055] Furthermore, exposure duration adjustment is performed, and the specific method is as follows: obtaining the actual brightness value of each exposure adjustment execution area after PWM duty cycle adjustment, and marking it as the second brightness value of each exposure adjustment execution area; obtaining the actual brightness value of each exposure adjustment execution area before PWM duty cycle adjustment, and marking it as the first brightness value of each exposure adjustment execution area; performing a difference degree analysis based on the second brightness value of each exposure adjustment execution area and the target brightness to obtain the first brightness difference degree value of each exposure adjustment execution area, matching the first brightness difference degree value of each exposure adjustment execution area with the database to obtain the first exposure adjustment coefficient of each exposure adjustment execution area; performing a difference degree analysis based on the first brightness value and the second brightness value of each exposure adjustment execution area to obtain the second brightness difference degree value of each exposure adjustment execution area, matching the second brightness difference degree value of each exposure adjustment execution area with the database to obtain the second exposure adjustment coefficient of each exposure adjustment execution area; and adjusting the exposure duration of each exposure adjustment execution area based on the first exposure adjustment coefficient and the second exposure adjustment coefficient of each exposure adjustment execution area.

[0056] In this embodiment, if Figure 3 As shown, Figure 3 An exposure duration adjustment flow chart of a low-latency Mini LED backlight control method provided in an embodiment of the present application is provided. The method obtains a PWM duty cycle iterative adjustment judgment result. If the PWM duty cycle iterative adjustment judgment result is unqualified, exposure duration adjustment is performed. The second brightness value, first brightness value and target brightness value of each exposure adjustment execution area are obtained. The second brightness value of each exposure adjustment execution area and the target brightness are analyzed to obtain a first brightness difference value of each exposure adjustment execution area. The first brightness difference value of each exposure adjustment execution area is matched with a database to obtain a first exposure adjustment coefficient of each exposure adjustment execution area. The first brightness value and second brightness value of each exposure adjustment execution area are analyzed to obtain a second brightness difference value of each exposure adjustment execution area. The second exposure adjustment coefficient of each exposure adjustment execution area is obtained based on the second brightness difference value of each exposure adjustment execution area. The exposure duration is adjusted based on the first exposure adjustment coefficient and the second exposure adjustment coefficient of each exposure adjustment execution area, thereby completing the exposure duration adjustment.

[0057] For each exposure adjustment area, the brightness difference before and after PWM adjustment is analyzed to calculate the first and second exposure adjustment coefficients. This is used to adjust the exposure duration, bringing the brightness output value of that area closer to the target brightness value. This process not only improves the accuracy of low-grayscale brightness control, but also effectively shortens iterative convergence time, reduces overall control latency, and enhances the performance stability and visual consistency of the Mini LED backlight in low-brightness areas.

[0058] Based on the difference between the second brightness value of each exposure adjustment execution area and the target brightness, the first brightness difference value of each exposure adjustment execution area is obtained. The specific method is as follows: ;Formula CD j Indicates the first brightness difference value of the jth exposure adjustment execution area, LT j represents the second brightness value of the jth exposure adjustment execution area, HD represents the target brightness value, j represents the number of the exposure adjustment execution area, j=1,2,...,j max ,j max Indicates the total number of regions where exposure adjustment is performed.

[0059] The first brightness difference value of each exposure adjustment execution area is matched with a database to obtain a first exposure adjustment coefficient for each exposure adjustment execution area. The specific method is as follows: obtaining a historical first brightness difference degree reference value preset in the database, an exposure adjustment reference adjustment coefficient corresponding to the historical first brightness difference degree reference value, a historical first brightness difference degree gradient, and a brightness adjustment amplification coefficient corresponding to the single-level first brightness difference degree gradient. A difference processing is performed between the first brightness difference degree value of the exposure adjustment execution area and the historical first brightness difference degree reference value preset in the database to obtain a first brightness difference difference value (the historical first brightness difference degree reference value is less than the first brightness difference degree value of the exposure adjustment execution area). A multiplication analysis is performed between the first brightness difference difference value and the historical first brightness difference degree reference value preset in the database (dividing the first brightness difference difference value by the historical first brightness difference degree reference value) to obtain a first brightness difference degree multiplier. The brightness adjustment amplification reference coefficient is obtained by multiplying the first brightness difference degree multiplier by the brightness adjustment amplification coefficient corresponding to the single-level first brightness difference degree gradient. The first exposure adjustment coefficient is obtained by adding the brightness adjustment amplification reference coefficient to the exposure adjustment reference adjustment coefficient corresponding to the historical first brightness difference degree reference value. Thus, the first exposure adjustment coefficient for each exposure adjustment execution area is obtained through this analysis. The single-level first brightness difference gradient refers to the difference between the minimum values ​​of two adjacent first brightness difference gradient intervals.

[0060] Based on the first brightness value and the second brightness value of each exposure adjustment execution area, a difference degree analysis is performed to obtain the second brightness difference degree value of each exposure adjustment execution area. The specific method is: Where, CT j Indicates the second brightness difference value of the jth exposure adjustment execution area, LT j represents the second brightness value of the jth exposure adjustment execution area, L0 j Indicates the first brightness value of the j-th exposure adjustment execution area.

[0061] The second brightness difference value of each exposure adjustment execution area is matched with a database to obtain a second exposure adjustment coefficient for each exposure adjustment execution area. The specific method is as follows: obtaining a historical second brightness difference reference value preset in the database, an exposure adjustment reference adjustment coefficient corresponding to the historical second brightness difference reference value, a historical second brightness difference gradient, and a brightness adjustment amplification coefficient corresponding to the single-level second brightness difference gradient. Subtracting the second brightness difference value of the exposure adjustment execution area from the historical second brightness difference reference value preset in the database to obtain a second brightness difference difference value (the historical second brightness difference reference value is less than the second brightness difference value of the exposure adjustment execution area). Multiplying the second brightness difference difference value with the historical second brightness difference reference value preset in the database (dividing the second brightness difference difference value by the historical second brightness difference reference value) to obtain a second brightness difference multiplier. Multiplying the second brightness difference multiplier by the brightness adjustment amplification coefficient corresponding to the single-level second brightness difference gradient to obtain a brightness adjustment amplification reference coefficient. Adding the brightness adjustment amplification reference coefficient to the exposure adjustment reference adjustment coefficient corresponding to the historical second brightness difference reference value to obtain the second exposure adjustment coefficient. The second exposure adjustment coefficient for each exposure adjustment execution area is obtained through this analysis. The single-level second brightness difference gradient refers to the difference between the minimum values ​​of two adjacent second brightness difference gradient intervals.

[0062] Based on the first exposure adjustment coefficient and the second exposure adjustment coefficient of each exposure adjustment execution area, the exposure duration of each exposure adjustment execution area is adjusted respectively. If the exposure adjustment execution area is a bright and distorted area, the adjustment method is to reduce the exposure duration of the exposure adjustment execution area, specifically: Where B G1 Indicates the exposure time after adjustment, B G0 Indicates the exposure time before adjustment, r b1 Indicates the first coefficient of exposure adjustment, r b2 Indicates the second coefficient of exposure adjustment. If the exposure adjustment execution area is a dark and distorted area, the adjustment method is to increase the exposure time of the exposure adjustment execution area, specifically: Where B G1 Indicates the exposure time after adjustment, B G0 Indicates the exposure time before adjustment, r b1 Indicates the first coefficient of exposure adjustment, r b2 Indicates the second exposure adjustment coefficient.

[0063] Furthermore, the halo judgment result is obtained. The specific method is: obtain the adjacent brightness difference values ​​of each adjacent low-grayscale light-controlled area after the distortion improvement adjustment; obtain the adjacent brightness difference threshold preset in the database, and compare it with the adjacent brightness difference values ​​of each adjacent low-grayscale light-controlled area to obtain the halo judgment result. If the adjacent brightness difference value of a certain adjacent low-grayscale light-controlled area is above the adjacent brightness difference threshold, the halo judgment result is abnormal, otherwise the halo judgment result is normal.

[0064] In this embodiment, it should be noted that the brightness difference between adjacent low-grayscale light-controlled areas after distortion improvement adjustment refers to the actual light output intensity (unit: cd / m²) displayed by the low-grayscale light-controlled area, rather than the pixel grayscale or signal intensity. Therefore, the brightness difference between adjacent low-grayscale light-controlled areas after distortion improvement adjustment is the difference in brightness (actual light output intensity) between the adjacent low-grayscale light-controlled areas. The brightness difference between adjacent low-grayscale light-controlled areas after distortion improvement adjustment can be obtained by capturing the entire Mini LED panel or a specified area and detecting it using a brightness camera (also known as a brightness imaging colorimeter).

[0065] Furthermore, halo improvement processing is performed, and the specific method is as follows: based on the adjacent brightness difference values ​​of each adjacent low grayscale light-controlled area, the adjacent brightness difference values ​​of each adjacent low grayscale light-controlled area are matched with the database to obtain the first influencing factor of brightness adjustment of each adjacent low grayscale light-controlled area; the adjacent brightness difference values ​​of the adjacent low grayscale light-controlled area before the distortion improvement adjustment are obtained, and marked as the first brightness difference value; the adjacent brightness difference values ​​of the adjacent low grayscale light-controlled area after the distortion improvement adjustment are obtained, and marked as the second brightness difference value; based on the first brightness difference value and the second brightness difference value, a difference degree analysis is performed to obtain a distortion adjustment brightness difference degree value, based on the distortion adjustment brightness difference degree value, the second influencing factor of brightness adjustment is obtained by matching the database, and thus the adjacent low grayscale light-controlled area is statistically obtained. The second influencing factor of brightness adjustment of the low-grayscale light-controlled area is obtained; the halo adjustment influencing parameters of each adjacent low-grayscale light-controlled area are obtained, and the halo adjustment influence value of each adjacent low-grayscale light-controlled area is obtained by analysis; the halo adjustment influence value of each adjacent low-grayscale light-controlled area is matched with the database to obtain the edge fusion width of each adjacent low-grayscale light-controlled area; the edge fusion width of each adjacent low-grayscale light-controlled area is corrected based on the first influencing factor of brightness adjustment and the second influencing factor of brightness adjustment to obtain the actual edge fusion width of each adjacent low-grayscale light-controlled area; the halo improvement processing of each adjacent low-grayscale light-controlled area is performed based on the actual edge fusion width of each adjacent low-grayscale light-controlled area.

[0066] In this embodiment, a first brightness adjustment influencing factor for each adjacent low grayscale light-controlled area is obtained by matching adjacent brightness differences of each adjacent low grayscale light-controlled area with a database. The specific method is as follows: obtaining an adjacent brightness difference threshold preset in the database, a brightness adjustment reference correction factor corresponding to the adjacent brightness difference threshold, a single-level adjacent brightness difference gradient, and a brightness adjustment amplification correction coefficient corresponding to the single-level adjacent brightness difference gradient; subtracting an adjacent brightness difference threshold preset in the database from the adjacent brightness difference value (the adjacent brightness difference threshold is an extremely small value and is smaller than the adjacent brightness difference value) to obtain an adjacent brightness threshold difference; performing a multiple analysis based on the adjacent brightness threshold difference and the single-level adjacent brightness difference gradient (specifically, dividing the adjacent brightness threshold difference by the single-level adjacent brightness difference gradient) to obtain an adjacent brightness threshold difference multiple; multiplying the adjacent brightness threshold difference multiple by the brightness adjustment amplification correction coefficient corresponding to the single-level adjacent brightness difference gradient, and then adding the resultant multiplication to the brightness adjustment reference correction factor corresponding to the adjacent brightness difference threshold to obtain the first brightness adjustment influencing factor. Thus, the first brightness adjustment influencing factor for each adjacent low grayscale light-controlled area is obtained. The single-level adjacent brightness difference gradient refers to the difference between the minimum values ​​of two adjacent brightness difference gradient intervals.

[0067] A difference degree analysis is performed based on the first brightness difference value and the second brightness difference value to obtain a distortion-adjusted brightness difference degree value. The specific method is: subtract the first brightness difference value from the second brightness difference value and take the absolute value to obtain a brightness difference adjustment value, and divide the brightness difference adjustment value by the first brightness difference value to obtain the distortion-adjusted brightness difference degree value.

[0068] The second brightness adjustment influencing factor is obtained by matching the distortion-adjusted brightness difference value with a database. The specific method is as follows: obtaining a distortion-adjusted brightness difference gradient and a single-gradient distortion-adjusted brightness influence factor preset in the database; performing a multiplication analysis based on the distortion-adjusted brightness difference value and the distortion-adjusted brightness difference gradient preset in the database (dividing the distortion-adjusted brightness difference value by the distortion-adjusted brightness difference gradient preset in the database) to obtain a distortion-adjusted brightness difference multiplier; and multiplying the distortion-adjusted brightness difference multiplier by the single-gradient distortion-adjusted brightness influence factor to obtain the second brightness adjustment influencing factor. The distortion-adjusted brightness difference gradient refers to the difference between the minimum values ​​of two adjacent distortion-adjusted brightness difference intervals.

[0069] The halo adjustment influence value of each adjacent low grayscale light control area is matched with a database to obtain the edge fusion width of each adjacent low grayscale light control area. The specific method is as follows: obtaining a preset halo adjustment influence reference value, the edge fusion width corresponding to the halo adjustment influence reference value, the halo adjustment influence gradient, and the edge fusion width increase corresponding to the single halo adjustment influence gradient from the database; performing difference processing between the halo adjustment influence value and the halo adjustment influence reference value preset in the database (the halo adjustment influence value is greater than the halo adjustment influence reference value, and the halo adjustment influence reference value is a preset minimum value) to obtain the halo adjustment influence difference; dividing the halo adjustment influence difference by the halo adjustment influence gradient to obtain the halo adjustment influence multiplier; multiplying the halo adjustment influence multiplier by the edge fusion width increase corresponding to the single halo adjustment influence gradient, and then adding the resultant value to the edge fusion width corresponding to the halo adjustment influence reference value to obtain the edge fusion width, thereby obtaining the edge fusion width of each adjacent low grayscale light control area. It should be noted that the halo adjustment influence gradient refers to the difference between the minimum values ​​of two adjacent halo adjustment influence gradient intervals.

[0070] The actual width of edge fusion of each adjacent low grayscale light control area is obtained by: Where B ka Indicates the actual width of the edge fusion of the kth adjacent low grayscale light control area, k represents the number of the adjacent low grayscale light control area, k=1,2,...,k max ,k max Indicates the total number of adjacent low grayscale light control areas, B kb Y represents the edge fusion width of the kth adjacent low grayscale light control area, k1 Y represents the first influencing factor of brightness adjustment of the kth adjacent low grayscale light control area, k2 It represents the second influencing factor of brightness adjustment of the kth adjacent low grayscale light control area.

[0071] Based on the actual width of edge fusion of each adjacent low grayscale light control area, halo improvement processing is performed on each adjacent low grayscale light control area. The specific method is: obtain the brightness difference of the adjacent grayscale light control areas, divide the brightness difference of the grayscale light control areas by the actual width of edge fusion, and obtain the brightness change value corresponding to the actual width of unit edge fusion. Based on the brightness change value corresponding to the actual width of unit edge fusion, the brightness value of the adjacent low grayscale light control area is gradually processed. The brightness change value corresponding to the actual width of unit edge fusion is the gradual change amount. For example, the brightness values ​​of the adjacent low grayscale light control areas where the actual width of unit edge fusion is located are 4 nits and 6 nits respectively, and the actual width of edge fusion is 1 pixel width. Then the brightness change amount corresponding to the unit width is (6 - 4) / 1 = 2 nits. At this time, the brightness needs to be continuously transitioned between 4 and 6 nits to achieve a soft connection of brightness.

[0072] By comprehensively considering the changes in brightness difference (the first brightness difference and the second brightness difference), the brightness adjustment influencing factor, and the halo adjustment influencing value, the edge fusion width is dynamically analyzed and finely matched. This allows for adaptive edge fusion that varies by region and degree of distortion. This helps to effectively avoid problems such as image blurring caused by setting the fusion width too large, or halo residual caused by setting it too small. This ensures image edge clarity and the naturalness of brightness transitions between regions while controlling the halo intensity, thereby improving the consistency and accuracy of the overall image quality.

[0073] Furthermore, the halo adjustment influence value of each adjacent low grayscale light control area is obtained, and the specific method is: obtaining the halo adjustment influence parameters of each adjacent low grayscale light control area, the halo adjustment influence parameters include grayscale difference, PWM duty cycle difference, edge luminescence overlap width and halo peak brightness; obtaining the halo adjustment influence benchmark set preset in the database, and comparing and analyzing it with the halo adjustment influence parameters of each adjacent low grayscale light control area to obtain the comparative analysis results, introducing the corresponding empowerment factor based on the comparative analysis results for coupling processing to obtain the halo adjustment influence value of each adjacent low grayscale light control area; the halo adjustment influence benchmark set includes the grayscale difference benchmark value, the PWM duty cycle difference benchmark value, the edge luminescence overlap width benchmark value and the halo peak brightness benchmark value.

[0074] In this embodiment, it should be noted that Figure 8 As shown, Figure 8 A schematic diagram comparing the correction and adjustment effects of the low-grayscale distortion areas of a low-latency Mini LED backlight control system provided in an embodiment of the present application is provided, from which the compensation success rate of the distorted area after compensation adjustment, the specific compensation results, the number of distorted areas, and the details of the compensation effect of each distorted area can be obtained, including specific details such as the brightness before and after adjustment, whether the compensation is successful, etc.

[0075] The parameters affecting halo control are all actual displayed values. The grayscale difference refers to the absolute value of the difference between the actual grayscale levels of two adjacent low-grayscale light-control areas, reflecting the grayscale difference between the two areas at the target brightness output. The grayscale value is the basic unit for grading brightness in backlight control. The larger the grayscale difference, the more obvious the brightness contrast between the two areas, which is more likely to form a visual fault at the edge of the area and induce halo phenomenon. The PWM duty cycle difference refers to the difference between the PWM signal duty cycles corresponding to two adjacent low-grayscale light-control areas, that is, the difference in the proportion of LED conduction time in the two areas per unit cycle. The edge light overlap width refers to the overlapping range of the LED backlight light-emitting areas at the boundary of adjacent light-control areas. The halo peak brightness refers to the maximum value of the brightness peak in the transition area between the boundary of adjacent light-control areas.

[0076] The halo adjustment influence value of each adjacent low grayscale light control area is obtained by:

[0077] ;

[0078] Where, GT k Indicates the halo adjustment influence value of the kth adjacent low grayscale light control area, k represents the number of the adjacent low grayscale light control area, k=1,2,...,k max ,k max Indicates the total number of adjacent low grayscale light control areas, GH k represents the grayscale difference between the kth adjacent low grayscale light control area, TH represents the grayscale difference reference value, GZ k Indicates the PWM duty cycle difference between the kth adjacent low grayscale light control area, TZ represents the PWM duty cycle difference reference value, GB k Indicates the edge light overlap width of the kth adjacent low grayscale light control area, TB represents the edge light overlap width reference value, GF k represents the halo peak brightness of the kth adjacent low grayscale light-controlled area, TF represents the halo peak brightness reference value, τ1 represents the grayscale difference weighting factor, τ2 represents the PWM duty cycle difference weighting factor, τ3 represents the edge light overlapping width weighting factor, and τ4 represents the halo peak brightness weighting factor.

[0079] Grayscale difference weighting factors, PWM duty cycle difference weighting factors, edge luminescence overlap width weighting factors, and halo peak brightness weighting factors can be obtained from a database. For example, the grayscale difference weighting factors can be obtained by analyzing a historical grayscale difference set stored in the database, performing difference processing on each historical grayscale difference in the historical grayscale difference set and the grayscale difference to obtain each historical grayscale difference difference value, obtaining a grayscale difference difference threshold value interval preset in the database, and comparing it with each historical grayscale difference difference value. If a historical grayscale difference difference value is within the grayscale difference difference threshold value interval, then obtaining the historical grayscale difference corresponding to the historical grayscale difference difference value and marking it as a historical control grayscale difference, thereby obtaining each historical control grayscale difference. After removing the extreme value of each historical control grayscale difference (removing the maximum and minimum values), the standard deviation is taken to obtain the historical control grayscale difference standard deviation. Obtain the historical reference grayscale difference weighting factor, the historical control grayscale difference standard deviation benchmark, the historical grayscale difference control standard deviation difference gradient, and the grayscale difference weighting factor single-level adjustment amount preset in the database, perform difference processing on the historical control grayscale difference standard deviation and the historical control grayscale difference standard deviation benchmark value to obtain the historical control grayscale difference standard deviation difference value, perform multiple analysis on the historical control grayscale difference standard deviation difference value and the historical grayscale difference control standard deviation difference gradient (divide the historical control grayscale difference standard deviation difference value by the historical grayscale difference control standard deviation difference gradient) to obtain the historical grayscale difference control standard deviation difference gradient multiple, The comprehensive adjustment amount of the grayscale difference weighting factor is obtained by multiplying the gradient multiple of the historical grayscale difference control standard deviation with the single-level adjustment amount of the grayscale difference weighting factor. The historical control grayscale difference standard deviation is compared with the historical control grayscale difference standard deviation reference value. If the historical control grayscale difference standard deviation is greater than the historical control grayscale difference standard deviation reference value, the historical reference grayscale difference weighting factor and the comprehensive adjustment amount of the grayscale difference weighting factor are added to obtain the grayscale difference weighting factor. Otherwise, the historical reference grayscale difference weighting factor and the comprehensive adjustment amount of the grayscale difference weighting factor are subtracted to obtain the grayscale difference weighting factor.

[0080] The single-level adjustment amount of the grayscale difference weighting factor refers to the amount of adjustment required for each level increase in the historical grayscale difference relative to the standard deviation. The historical grayscale difference relative to the standard deviation difference gradient refers to the difference between the minimum values ​​of two adjacent grayscale difference gradient intervals. Other weighting factors, such as the PWM duty cycle difference weighting factor, the edge light overlap width weighting factor, and the halo peak brightness weighting factor, are obtained in the same way as the grayscale difference weighting factor.

[0081] By analyzing the parameters influencing halo control, including grayscale difference, PWM duty cycle difference, edge overlap width, and halo peak brightness, the halo control impact value for each adjacent low-grayscale light-controlled area is determined. This takes into account the interplay between these parameters. For example, grayscale difference is directly related to PWM duty cycle difference, reflecting the target brightness level difference between areas. PWM duty cycle is the core parameter for grayscale output control. A larger grayscale difference requires a larger PWM duty cycle difference to achieve the corresponding brightness, resulting in a positive correlation between the two. A larger PWM duty cycle difference, combined with a smaller overlap width, results in more dramatic brightness variations, creating strong edge contrast and amplifying halo effects. Conversely, an appropriate overlap width can mitigate brightness discontinuities caused by PWM differences. Halo peak brightness is influenced by both grayscale difference and PWM duty cycle adjustment. In the absence of adequate edge blending, larger grayscale or PWM differences lead to localized peak brightness concentration, resulting in a more pronounced halo effect.

[0082] like Figure 4 As shown in the figure, it is a structural diagram of a low-latency Mini LED backlight control system provided by an embodiment of the present application. A low-latency Mini LED backlight control system provided by an embodiment of the present application includes: a low grayscale brightness area determination module, a low grayscale brightness distortion area screening module, a distortion improvement adjustment module and a halo improvement processing module; wherein the low grayscale brightness area determination module is used for Mini The LED central processing unit retrieves the current image frame and divides the light control area into light control areas to obtain light control areas. The light control areas are then brightness-screened to obtain low-grayscale brightness areas. A low-grayscale brightness distortion area screening module is configured to obtain the actual brightness value of each low-grayscale brightness area and compare it with the target brightness value to obtain a low-grayscale brightness distortion determination result and each low-grayscale brightness distortion area. A distortion improvement adjustment module is configured to obtain brightness distortion influencing parameters of each low-grayscale brightness distortion area, analyze and obtain a PWM duty cycle correction factor for each low-grayscale brightness distortion area, perform iterative adjustment of the PWM duty cycle based on the obtained parameters, and obtain a PWM duty cycle iterative adjustment determination result. If the PWM duty cycle iterative adjustment determination result is qualified, the process is completed; otherwise, the exposure time adjustment is performed. A halo improvement processing module is configured to obtain the brightness difference between adjacent low-grayscale brightness distortion areas after the distortion improvement adjustment and analyze and obtain a halo determination result. If the halo determination result is qualified, halo improvement processing is not performed; otherwise, halo improvement processing is performed. The distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure time adjustment.

[0083] To summarize, this embodiment achieves accurate identification and graded adjustment of low-grayscale brightness distortion and halo problems by dividing light control areas, identifying low-grayscale brightness areas, judging brightness distortion, and analyzing halo based on image frames, thereby achieving accurate restoration of brightness distortion and halo effects of Mini LED backlight sources in low-grayscale scenes, effectively solving the problems of low-grayscale brightness distortion and halo caused by sudden changes in partition edges due to insufficient control accuracy in the prior art.

[0084] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0088] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0089] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A low-latency Mini LED backlight control method, characterized in that: The following steps are involved: The Mini LED central processing unit retrieves the current image frame and divides the light control area into different light control areas. It then screens the brightness of each light control area to obtain low grayscale brightness areas. Obtaining the actual brightness value of each low grayscale brightness area and comparing it with the target brightness value to obtain the low grayscale brightness distortion determination result and each low grayscale brightness distortion area; Obtaining brightness distortion influencing parameters for each low-grayscale brightness distortion region, analyzing and obtaining PWM duty cycle correction factors for each low-grayscale brightness distortion region, and iteratively adjusting the PWM duty cycle based on these parameters to obtain a PWM duty cycle iterative adjustment determination result. If the PWM duty cycle iterative adjustment determination result is qualified, the process is completed; otherwise, the exposure duration adjustment is performed. Obtaining the brightness difference of each adjacent low grayscale brightness distortion area after the distortion improvement adjustment, and analyzing it to obtain the halo judgment result. If the halo judgment result is qualified, no halo improvement processing is performed; otherwise, halo improvement processing is performed; The distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure duration adjustment.

2. The low-latency Mini LED backlight control method according to claim 1, wherein: The specific method for obtaining each low grayscale brightness area is as follows: Get the target brightness value of each light control area; The minimum controllable brightness threshold preset in the database is obtained and compared with the target brightness value of each light-controlled area. If the target brightness value of a light-controlled area is less than the minimum controllable brightness threshold, the light-controlled area is marked as a low grayscale brightness area, thereby obtaining the low grayscale brightness areas by statistics.

3. The low-latency Mini LED backlight control method according to claim 1, wherein: The specific method for obtaining the low grayscale brightness distortion determination result and each low grayscale brightness distortion area is as follows: Obtain the actual brightness value of each low grayscale brightness area and perform absolute difference processing on the target brightness value to obtain the target brightness difference value of each low grayscale brightness area; Obtain a preset brightness difference threshold in the database and compare it with the target brightness difference value of each low grayscale brightness area to obtain a low grayscale brightness distortion determination result. If the target brightness difference value of a low grayscale brightness area is less than the brightness difference threshold, then the low grayscale brightness distortion determination result of the low grayscale brightness area is normal; otherwise, the low grayscale brightness distortion determination result of the low grayscale brightness area is abnormal. The low grayscale brightness area with the abnormal low grayscale brightness distortion determination result is marked as a low grayscale brightness distortion area, thereby obtaining the low grayscale brightness distortion areas through statistics. The brightness value of each low-grayscale brightness distortion area is compared with the target brightness value, and the low-grayscale brightness distortion area with a brightness value greater than the target brightness value is marked as a bright distortion area, and the low-grayscale brightness distortion area with a brightness value less than the target brightness value is marked as a dark distortion area.

4. The low-latency Mini LED backlight control method according to claim 1, wherein: The PWM duty cycle correction factor of each low grayscale brightness distortion area is specifically calculated as follows: Obtaining brightness distortion impact parameters of each low grayscale brightness distortion area, wherein the brightness distortion impact parameters include a starting drive current, a minimum current step size, a system refresh frequency, and a grayscale adjustment step size; Obtain a preset brightness distortion impact baseline set in the database, and perform comparative analysis with the brightness distortion impact parameters of each low-grayscale brightness distortion area to obtain comparative analysis results. Based on the comparative analysis results, introduce corresponding weighting factors for coupling processing to obtain brightness distortion impact values ​​of each low-grayscale brightness distortion area; Based on the brightness distortion impact value of each low grayscale brightness distortion area, the brightness distortion impact value is matched with the database to obtain the PWM duty cycle correction factor of each low grayscale brightness distortion area; The brightness distortion impact baseline set includes a starting driving current baseline value, a minimum current step baseline value, a system refresh frequency baseline value, and a grayscale adjustment step baseline value.

5. The low-latency Mini LED backlight control method according to claim 1, wherein: The PWM duty cycle is iteratively adjusted to obtain a PWM duty cycle iterative adjustment determination result, and the specific method is: Based on the PWM duty cycle correction factor of each low grayscale brightness distortion area, the PWM duty cycle of each low grayscale brightness distortion area is adjusted respectively. If a low grayscale brightness distortion area is a bright distortion area, the PWM duty cycle is adjusted to be lowered based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area. If a low grayscale brightness distortion area is a dark distortion area, the PWM duty cycle is adjusted to be higher based on the PWM duty cycle correction factor corresponding to the low grayscale brightness distortion area. Obtain the brightness value of each low grayscale brightness distortion area after PWM duty cycle adjustment and compare it with the target brightness value. If the brightness value of a low grayscale brightness distortion area after PWM duty cycle adjustment is equal to the target brightness value, the low grayscale brightness distortion area completes the PWM duty cycle iterative adjustment. If the brightness value of a low grayscale brightness distortion area after PWM duty cycle adjustment is less than the target brightness value, the low grayscale brightness distortion area continues to perform PWM duty cycle adjustment and marks the area as an iterative execution area, thereby obtaining each iterative execution area; Obtain the brightness values ​​after two adjacent PWM duty cycle iterative adjustments in each iterative execution area, and perform difference analysis to obtain the brightness difference value of adjacent iterative adjustments in each iterative execution area; Obtain the iterative adjustment brightness difference degree threshold preset in the database, and compare it with the adjacent iterative adjustment brightness difference degree values ​​of each iterative execution area to obtain the PWM duty cycle iterative adjustment judgment result. If there is an iterative execution area with an adjacent iterative adjustment brightness difference degree value below the iterative adjustment brightness difference degree threshold, then the PWM duty cycle iterative adjustment judgment result of the iterative execution area is qualified. If there is an iterative execution area with an adjacent iterative adjustment brightness difference degree value greater than the iterative adjustment brightness difference degree threshold, then the PWM duty cycle iterative adjustment judgment result of the iterative execution area is unqualified, and the iterative execution area is marked as the exposure adjustment execution area, thereby obtaining each exposure adjustment execution area.

6. The low-latency Mini LED backlight control method according to claim 1, wherein: The specific method for adjusting the exposure duration is as follows: Obtaining the actual brightness value of each exposure adjustment execution area after the PWM duty cycle is adjusted, and marking it as the second brightness value of each exposure adjustment execution area; Obtaining the actual brightness value of each exposure adjustment execution area before the PWM duty cycle is adjusted, and marking it as the first brightness value of each exposure adjustment execution area; performing a difference analysis between the second brightness value of each exposure adjustment execution area and the target brightness to obtain a first brightness difference value of each exposure adjustment execution area, and matching the first brightness difference value of each exposure adjustment execution area with a database to obtain a first exposure adjustment coefficient of each exposure adjustment execution area; performing a difference analysis based on the first brightness value and the second brightness value of each exposure adjustment execution area to obtain a second brightness difference value of each exposure adjustment execution area, and matching the second brightness difference value of each exposure adjustment execution area with a database to obtain a second exposure adjustment coefficient for each exposure adjustment execution area; The exposure duration of each exposure adjustment execution area is adjusted based on the first exposure adjustment coefficient and the second exposure adjustment coefficient of each exposure adjustment execution area.

7. The low-latency Mini LED backlight control method according to claim 1, wherein: The halo determination result is obtained by: Obtain adjacent brightness differences of adjacent low grayscale light-controlled areas after distortion improvement adjustment; Obtain the adjacent brightness difference threshold preset in the database and compare it with the adjacent brightness difference value of each adjacent low grayscale light-controlled area to obtain the halo judgment result. If the adjacent brightness difference value of a certain adjacent low grayscale light-controlled area is above the adjacent brightness difference threshold, the halo judgment result is abnormal, otherwise the halo judgment result is normal.

8. The low-latency Mini LED backlight control method according to claim 7, wherein: The halo improvement process is specifically performed as follows: Based on the adjacent brightness difference values ​​of each adjacent low grayscale light control area, the first influencing factor of brightness adjustment of each adjacent low grayscale light control area is obtained by matching the adjacent brightness difference values ​​of each adjacent low grayscale light control area with the database; Obtain adjacent brightness difference values ​​of adjacent low grayscale light control areas before distortion improvement adjustment, and mark them as first brightness difference values; Obtain adjacent brightness difference values ​​of adjacent low grayscale light control areas after distortion improvement adjustment, and mark them as second brightness difference values; Performing a difference analysis based on the first brightness difference value and the second brightness difference value to obtain a distortion-adjusted brightness difference value, matching the distortion-adjusted brightness difference value with a database to obtain a second brightness adjustment influencing factor, and thereby obtaining the second brightness adjustment influencing factor of each adjacent low-grayscale light-control area through statistics; Obtaining halo adjustment influence parameters of each adjacent low grayscale light control area, and analyzing to obtain halo adjustment influence values ​​of each adjacent low grayscale light control area; Based on the halo adjustment influence value of each adjacent low grayscale light control area, the edge fusion width of each adjacent low grayscale light control area is obtained by matching the halo adjustment influence value of each adjacent low grayscale light control area with the database; Correcting the edge fusion width of each adjacent low grayscale light control area based on the brightness adjustment first influencing factor and the brightness adjustment second influencing factor of each adjacent low grayscale light control area to obtain the actual edge fusion width of each adjacent low grayscale light control area; A halo improvement process is performed on each adjacent low grayscale light control area based on the actual width of the edge fusion of each adjacent low grayscale light control area.

9. The low-latency Mini LED backlight control method according to claim 8, wherein: The specific method for obtaining the halo adjustment influence value of each adjacent low grayscale light control area is as follows: Obtaining halo adjustment influencing parameters of each adjacent low grayscale light control area, wherein the halo adjustment influencing parameters include grayscale difference, PWM duty cycle difference, edge light overlapping width, and halo peak brightness; Obtain a preset halo adjustment influence benchmark set in the database, and perform comparative analysis on it with the halo adjustment influence parameters of each adjacent low-grayscale light control area to obtain comparative analysis results. Based on the comparative analysis results, introduce corresponding weighting factors for coupling processing to obtain the halo adjustment influence values ​​of each adjacent low-grayscale light control area; The halo adjustment impact reference set includes a grayscale difference reference value, a PWM duty cycle difference reference value, an edge light emitting overlap width reference value, and a halo peak brightness reference value.

10. A low-latency Mini LED backlight control system, applying the low-latency Mini LED backlight control method according to any one of claims 1 to 9, characterized in that: include: Low grayscale brightness area determination module, low grayscale brightness distortion area screening module, distortion improvement adjustment module and halo improvement processing module; The low grayscale brightness area determination module is used for the Mini LED central processing unit to retrieve the current image frame, divide the light control area, obtain each light control area, and perform brightness screening on each light control area to obtain each low grayscale brightness area; The low grayscale brightness distortion area screening module is used to obtain the actual brightness value of each low grayscale brightness area and compare it with the target brightness value to obtain the low grayscale brightness distortion determination result and each low grayscale brightness distortion area; The distortion improvement adjustment module is configured to obtain brightness distortion influencing parameters of each low-grayscale brightness distortion region, analyze and obtain a PWM duty cycle correction factor for each low-grayscale brightness distortion region, perform iterative adjustment of the PWM duty cycle based on the obtained parameters, and obtain a PWM duty cycle iterative adjustment determination result. If the PWM duty cycle iterative adjustment determination result is qualified, the processing is completed; otherwise, the exposure duration adjustment is performed; The halo improvement processing module is used to obtain the brightness difference between adjacent low grayscale brightness distortion areas after distortion improvement adjustment, and analyze it to obtain a halo determination result. If the halo determination result is qualified, halo improvement processing is not performed; otherwise, halo improvement processing is performed; The distortion improvement adjustment includes PWM duty cycle iterative adjustment and exposure duration adjustment.

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