Low-partition Mini-LED backlight adjusting method and device

Abstract

The invention discloses a low-partition Mini-LED backlight adjusting method and device, and relates to the technical field of screen display, and the method comprises the steps: dividing a grayscale image and a backlight plate into a plurality of partitions according to the same rule; calculating the average value of the gray values of the pixels in each partition, counting the number of the pixels with the gray values of the pixels exceeding a preset threshold value, and calculating the ratio of the pixels exceeding the preset threshold value to the total number of the pixels in the partition to obtain a ratio range; dividing the proportion range into a plurality of grades, and endowing each grade with a set weight value; updating the gray value of each pixel in the partition according to the average value and the weight value of the gray values of the pixels; and outputting a backlight brightness value according to the updated pixel gray value. On the basis that the brightness value of the backlight source is obtained through the averaging method, the threshold value is set, all the pixel points in the partition are compared with the threshold value, grading weight assignment is carried out according to the compared brightness grades, the new gray value of all the pixel points is obtained, then the contrast ratio of the overall display effect is enhanced, and image display is clearer.

Description

Technical Field

[0001] The present invention relates to the field of screen display technology, and in particular to a low-partition Mini-LED backlight adjustment method and device. Background Art

[0002] Mini-LED backlight technology is a new type of display technology. It uses many small LED lamp beads as backlight sources and evenly distributes them on the backlight board to form a backlight module. Each Mini-LED can be independently controlled to achieve fine local dimming, thereby improving the contrast between dark and bright areas. For low-partition Mini-LED, the existing technology has the following research, such as:

[0003] The prior art provides an edge-entry LED backlight area dimming algorithm, which includes three parts: backlight dimming, brightness allocation and pixel compensation. The dimming algorithm divides the input image into partitions and calculates the image brightness of each partition; the brightness allocation algorithm introduces resource allocation and transportation models to establish a mapping relationship between the image partition brightness and the LED light string brightness; the pixel compensation algorithm uses a low-pass filter to simulate the diffusion effect of the light emitted by the LED after passing through the light guide plate and the diffusion film, and adjusts the liquid crystal pixel brightness accordingly. The prior art also provides a Mini-LED backlight control method: obtaining original brightness data, which includes A original brightness information; interpolating and obtaining target brightness data based on adjacent original brightness information in the original brightness data, the above adjacent original brightness information is used to control the display brightness of adjacent positions in the Mini-LED backlight area, the target brightness data includes B target brightness information, B is greater than A; the brightness of the Mini-LED backlight area is controlled based on the target brightness data. The prior art has a liquid crystal display Mini LED backlight partition dynamic dimming algorithm based on image details. The algorithm first adjusts the brightness dimming factor ω according to the regional brightness and detail characteristics, and then determines the final backlight output brightness. The backlight brightness of each pixel is accurately obtained by simulating diffusion, and then corresponding pixel compensation is performed according to the image backlight brightness and the category to which the image belongs.

[0004] Due to the different focuses of existing research, the existing traditional backlight acquisition algorithms for low-partition Mini-LEDs still have problems such as low dynamic contrast and excessive backlight resulting in unclear energy saving. Summary of the invention

[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a low-partition Mini-LED backlight adjustment method and device. On the basis of adopting the mean method to obtain the brightness value of the backlight source, a threshold is set, and each pixel point in the partition is compared with the threshold. Graded weights are assigned according to the compared brightness levels to obtain a new grayscale value for each pixel point, thereby enhancing the contrast of the overall display effect and making the image display clearer.

[0006] In order to achieve the above object, the present invention is implemented through the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a low-partition Mini-LED backlight adjustment method, comprising:

[0008] Collect a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of the pixels in each partition;

[0009] Count the number of pixels whose grayscale values ​​exceed the preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain the proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level;

[0010] According to the average value and weight value of the pixel grayscale value, the grayscale value of each pixel in the partition is updated; according to the updated pixel grayscale value, the backlight brightness value is output.

[0011] As a further implementation, the calculating the ratio of pixels exceeding a preset threshold to the total number of pixels in the partition includes:

[0012] Preset pixel gray value threshold;

[0013] Compare the grayscale value of the image pixels in the partition with the threshold value, and perform binary marking processing on the original image pixels;

[0014] The proportion of the number of pixels whose grayscale value exceeds the threshold is calculated according to the statistical results within the partition, and a proportion range is obtained; wherein the proportion range is between 0 and 1.

[0015] As a further implementation method, the proportion range is divided into multiple levels, and a set weight value is assigned to each level, including:

[0016] M-1 dividing points are set in ascending order between the proportion range of 0 and 1, the proportion space between 0 and 1 is divided into M levels, and the weight is set for each level according to the requirements for graded weight assignment.

[0017] As a further implementation method, the average grayscale value of the pixels in the partition is multiplied by the corresponding grading weight to obtain an updated grayscale value of the pixels.

[0018] As a further implementation, the hierarchical weight assignment principle is:

[0019] The smaller the proportion of pixels whose grayscale values ​​exceed the partition threshold, the lower the corresponding level, and the greater the weight value assigned to the corresponding level; the larger the proportion of pixels whose grayscale values ​​exceed the partition threshold, the higher the corresponding level, and the smaller the weight value assigned to the corresponding level.

[0020] As a further implementation, dividing the grayscale image and the backlight panel into a plurality of partitions according to the same rule, and calculating the average grayscale value of pixels in each partition, comprises:

[0021] According to the number of backlight beads, the backlight panel and grayscale image are partitioned into m×n backlight source areas; the pixel grayscale values ​​are averaged and the average is used as the basic brightness value of the partition.

[0022] As a further implementation, after outputting the backlight source brightness value, diffusion processing and nonlinear pixel compensation are performed on the backlight source.

[0023] In a second aspect, an embodiment of the present invention further provides a low-partition Mini-LED backlight adjustment device, comprising:

[0024] The partition module is configured to: collect a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of pixels in each partition;

[0025] The hierarchical weight assignment module is configured to: count the number of pixels whose grayscale values ​​exceed a preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain a proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level;

[0026] The brightness value output module is configured to: update the grayscale value of each pixel in the partition according to the average value and weight value of the pixel grayscale value; and output the backlight brightness value according to the updated pixel grayscale value.

[0027] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a processor and a memory, wherein the memory stores computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the low-partition Mini-LED backlight adjustment method.

[0028] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the low-partition Mini-LED backlight adjustment method.

[0029] The beneficial effects of the present invention are as follows:

[0030] (1) The present invention introduces hierarchical weight assignment based on the mean method. In each partition, the number of pixel points whose grayscale values ​​exceed a preset threshold is counted, and the ratio of the total number of pixels is calculated. Based on the ratio, 0 to 1 is divided into M levels, and different levels are assigned different weight values. The grayscale values ​​of pixels of each level are then updated, and finally the LED light board outputs a reasonable brightness, with a higher dynamic contrast, thereby improving the visual effect of the image.

[0031] (2) In the present invention, if the number of pixels exceeding the threshold in a partition dynamically accounts for a very low proportion of the total number of pixels in the partition, the original backlight brightness data of the block after mean compression is assigned a higher weight coefficient; if the number of pixels exceeding the threshold in the partition accounts for a very high proportion of the total number of pixels in the block, the partition can be output according to a smaller value of the original brightness, or the original backlight brightness data of the block after mean compression is assigned a lower weight coefficient; thereby, a reasonable brightness can be output and the display effect can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1 is a method flow chart according to one or more embodiments of the present invention;

[0034] Figure 2 is a low-partition backlight control architecture diagram according to one or more embodiments of the present invention;

[0035] Figure 3 is a schematic diagram of backlight source partitions according to one or more embodiments of the present invention;

[0036] Figure 4 It is a simulation verification diagram of hierarchical weight assignment according to one or more embodiments of the present invention, wherein (a) is the original image, (b) is the grayscale image, (c) is the backlight image after averaging, (d) is the backlight image after hierarchical weight assignment, (e) is the effect image after diffusion by the mean method, (f) is the effect image after diffusion by the hierarchical weight assignment, (g) is the effect image after pixel compensation by the mean method, and (h) is the effect image after pixel compensation by the hierarchical weight assignment method;

[0037] Figure 5It is a performance evaluation diagram of the hierarchical weight assignment processing and the mean method processing according to one or more embodiments of the present invention, wherein (a) is the effect diagram after mean processing, (b) is the effect diagram after hierarchical weight assignment processing, (c) is the effect diagram after mean processing, (d) is the effect diagram after hierarchical weight assignment processing, (e) is the effect diagram after mean processing, (f) is the effect diagram after hierarchical weight assignment processing, (g) is the effect diagram after mean processing, (h) is the effect diagram after hierarchical weight assignment processing, (i) is the effect diagram after mean processing, and (j) is the effect diagram after hierarchical weight assignment processing. DETAILED DESCRIPTION

[0038] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0039] Embodiment 1:

[0040] This embodiment provides a low-partition Mini-LED backlight adjustment method, such as Figure 2 As shown, in order to better present a color image, the Mini-LED low-partition backlight adjustment system includes at least pixel grayscale processing, backlight source acquisition, blur diffusion, nonlinear pixel compensation, backlight layer output and LCD modules. Backlight source acquisition is the key to ensuring a better visual experience on the LCD screen. Therefore, in this embodiment, based on the mean method to obtain the backlight source brightness value, a threshold is set, and each pixel point in the partition is compared with the threshold. Graded weights are assigned according to the compared brightness levels to obtain a new grayscale value for each pixel point, thereby enhancing the contrast of the overall display effect.

[0041] Specifically, Figure 1 As shown, the following steps are included:

[0042] Step S1: Acquire a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of pixels in each partition.

[0043] In order to facilitate subsequent processing, for the input color image, the original three-dimensional RGB color image is first processed into two dimensions, that is, grayscale. Compared with the grayscale image converted from RGB components, the grayscale image of YCbCr using the Y component has a better sense of hierarchy and is closer to the original image; therefore, RGB is converted to YCbCr, and then the Y component is taken as the final grayscale value. The conversion formula is as follows:

[0044]

[0045] In formula (1), R represents the red component value, G represents the green component, and B represents the blue component value, ranging from 0 to 255; Y represents the final grayscale value, that is, the brightness component (Luma).

[0046] like Figure 3 As shown, according to the number of lamp beads in the backlight panel, the backlight panel is divided into m×n low-level partitions, and the generated grayscale image is also divided into the same number of partitions.

[0047] Averaging is a preliminary step in obtaining backlight source data. Since this embodiment targets Mini-LED low-zone partitions, in order to ensure that each zone can retain image details to the maximum extent in the case of low-zone partitions, this embodiment uses an averaging method to obtain backlight source data, and uses the average value as the basic value of the backlight source brightness of the zone. This method is simple and efficient, and can effectively reduce local brightness fluctuations, while minimizing the problem of detail loss or uneven brightness caused by low-zone partitions.

[0048] Step S2: Count the number of pixels whose grayscale values ​​exceed the preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain the proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level.

[0049] This embodiment introduces a hierarchical weight assignment step based on the mean value method, and achieves an effect that is better than the original mean value algorithm in regulating the brightness level of the backlight block. Specifically, it is as follows:

[0050] Step S21: For the kth partition (k=1, 2, ..., m×n), set the pixel gray value threshold according to the requirements, expressed as Vth k .

[0051] Step S22: Compare the grayscale value of the image pixels in the partition with the preset threshold Vth k The original image pixels are binarized and marked for comparison. The percentage of pixels whose grayscale values ​​exceed the threshold of the partition in the kth partition (k = 1, 2, ..., m × n) is calculated based on the statistical results within the partition, expressed as Ratio k (0 <Ratio k <1).

[0052] Step S23: Select M-1 dividing points in the range of 0 to 1 in ascending order, which are: R1, R2, ..., R M-1 , the proportion space between 0 and 1 is divided into M levels, denoted as Grade i (i=1,2,…,M), and set the corresponding assignment weight W for each level according to the needs i , the corresponding relationship is shown in Table 1.

[0053] Table 1M-level grading weight assignment table

[0054]

[0055]

[0056] Step S3: updating the grayscale value of each pixel in the partition according to the average value and weight value of the pixel grayscale value; outputting the backlight brightness value according to the updated pixel grayscale value.

[0057] As can be seen from Table 1, a partition belongs to only one of the M levels and has only one corresponding weight assignment. According to Table 1, the grayscale value of each pixel in each partition (actually the average grayscale value of the pixels in the partition) is multiplied by the corresponding grading weight to update the grayscale value of each pixel in each partition.

[0058] In this embodiment, if the number of pixels exceeding the threshold in a partition accounts for a very low proportion of the total number of pixels in the partition, the original backlight brightness data of the block after mean compression can be assigned a higher weight coefficient; if the number of pixels exceeding the threshold in the partition accounts for a high proportion of the total number of pixels in the block, the partition can be output according to the smaller of the original brightness value, or the original backlight brightness data of the block after mean compression can be assigned a lower weight coefficient. The specific division of weight assignment areas and the assignment of weight coefficients can be based on user experience, so that the LED light board can output a reasonable brightness and achieve an improved display effect.

[0059] Since this embodiment is for low partitions, the number of partitions of the backlight source is much smaller than the number of pixels of the liquid crystal, so each partition in the backlight source will correspond to a pixel block of the liquid crystal part. Considering that light will diffuse in the light mixing cavity when it propagates from each independent partition in the backlight source to the liquid crystal part, the backlight source is diffused.

[0060] The diffusion method used in this embodiment is the BMA (Blur-Mask Approach) fuzzy-diffusion method, which performs a convolution operation on the input backlight matrix data through a diffusion template, as shown in the following formula:

[0061]

[0062] In formula (2), m and n represent the coordinates of the input backlight matrix, i and j represent the coordinates of the low-pass filter template, and BL ext(i+m,j+n) Indicates the backlight matrix after four-sided mirror processing, BL lpf(i,j) Represents the low-pass filter template, BL bma(m,n) Indicates the result of the BMA algorithm.

[0063] Low pass filter template BL lpf(i,j) The function expression of is shown in formula (3):

[0064]

[0065] The diffusion template is a square matrix of size (2n+1)×(2n+1). The result obtained by multiplying the data of the input matrix with the corresponding filter template is the convolution output result of the coordinate.

[0066] Since the photoelectric characteristics of LCD are nonlinear, in order to ensure that the input / output characteristics of the grayscale value are approximately linear when the LCD image is displayed, nonlinear pixel compensation is required, that is, the pixel compensation adjustment coefficient γ is introduced on the basis of the linear pixel compensation algorithm, as shown in formula (4).

[0067]

[0068] In formula (4), CV ori Indicates the original brightness of the LCD before adjustment, L full Indicates the initial global constant brightness value, which is 255. com Indicates the backlight brightness after BMA, the ideal value of the γ target LCD, CV com To adjust the pixel value of the LCD display, that is, the brightness.

[0069] It can be seen from formula (4) that the final displayed value CV com By CV ori , L full , L com This embodiment is based on the mean value method to obtain the backlight brightness value, and enhances the contrast of the overall display effect. In order to enhance the CV of the corresponding target partition com value, when the γ value is certain and L full When the backlight value L is a fixed value, com To reduce the output, similarly, to weaken the CV of the corresponding target partition com value, then the backlight value L com Perform processing to increase output.

[0070] The algorithm is also relatively simple to calculate and consumes less hardware resources. Compared with the linear pixel compensation algorithm, the nonlinear pixel compensation algorithm improves the image processing effect and reduces the degree of image distortion to a certain extent.

[0071] This embodiment uses a flexible hierarchical weight assignment algorithm. In each partition, the number of pixels whose grayscale values ​​exceed a preset threshold is counted, and the ratio of the total number of pixels is calculated. Based on the ratio, 0 to 1 is divided into M levels, and different weight values ​​are assigned to different levels. This embodiment makes the brightness output by the LED light board more reasonable and the dynamic contrast higher, so that users have a better visual experience.

[0072] Embodiment 2:

[0073] In this embodiment, a simulation experiment is conducted on Matlab for the method described in Example 1, and a physical implementation is performed on a 15.6-inch LCD screen with a resolution of 1280x800 and 360 partitions based on the Gaoyun FPGA control board GW2A-LV55UG484C8. The results all prove that the method described in Example 1 makes the brightness output by the LED light board more reasonable, the performance evaluation effect is better, and the user has a better visual experience.

[0074] The specific process is as follows:

[0075] (1) Matlab simulation:

[0076] Simulation settings: image resolution is 1280×800; 24×15 (i.e. 360) partitions; in each (kth) partition, the percentage of exceeding the threshold is calculated based on the Ratio k It is divided into 3 levels, and the level range and grading weights are shown in Table 2.

[0077] Table 2 Weight assignment table for each (kth) partition

[0078]

[0079] The simulation process and results are as follows Figure 4 As shown, the simulation results show that compared with the averaging algorithm, the image output effect processed by the partitioned backlight source graded weight assignment algorithm is better, and the user has a better visual experience.

[0080] (2) Gaoyun FPGA implementation and performance evaluation

[0081] A physical implementation was carried out on Gaoyun FPGA, and based on the actual implementation system, the performance evaluation was performed by comparing the mean value method processing and the method described in Example 1 from the three indicators of image information entropy (EN), peak signal-to-noise ratio (PSNR) and energy consumption. Figure 5 As shown in FIG. 5 , there are 5 groups of verification experiments. Table 3 is a comparison of the 3 indicator parameter values ​​corresponding to the 5 groups of experiments.

[0082] Table 3 Comparison of performance evaluation indicators between hierarchical weight assignment processing and mean method processing

[0083]

[0084]

[0085] From the above Figure 5From the data in Table 3, we can see that compared with the original mean value method, the various effect indicators have been steadily improved after adopting the hierarchical weight assignment method. In terms of EN parameters, the lowest improvement is 0.0891, the highest can reach 0.608, and the average improvement is 0.21662. In terms of Consumption indicators, the lowest reduction is 0.3W, the highest is 1.1W, and the average reduction is 0.66W. In the peak signal-to-noise ratio (PSNR) indicator, the lowest improvement range is 5.4446dB, the highest is 9.7918dB, and the average improvement is 7.3764dB. These data fully show that the hierarchical weight assignment method is superior to the original mean value method in many aspects.

[0086] Embodiment 3:

[0087] This embodiment provides a low-partition Mini-LED backlight adjustment device, including:

[0088] The partition module is configured to: collect a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of pixels in each partition;

[0089] The hierarchical weight assignment module is configured to: count the number of pixels whose grayscale values ​​exceed a preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain a proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level;

[0090] The brightness value output module is configured to: update the grayscale value of each pixel in the partition according to the average value and weight value of the pixel grayscale value; and output the backlight brightness value according to the updated pixel grayscale value.

[0091] Embodiment 4:

[0092] This embodiment provides an electronic device, including a processor and a memory, wherein the memory stores computer instructions. When the computer instructions are executed by the processor, the electronic device executes the low-partition Mini-LED backlight adjustment method described in Example 1.

[0093] Embodiment 5:

[0094] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the low-partition Mini-LED backlight adjustment method according to Embodiment 1 is implemented.

[0095] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A low-partition Mini-LED backlight adjustment method, characterized in that: include: Collect a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of the pixels in each partition; Count the number of pixels whose grayscale values ​​exceed the preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain the proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level; According to the average value and weight value of the pixel grayscale value, the grayscale value of each pixel in the partition is updated; according to the updated pixel grayscale value, the backlight brightness value is output.

2. A low-partition Mini-LED backlight adjustment method according to claim 1, characterized in that: The calculating the ratio of pixels exceeding a preset threshold to the total number of pixels in the partition includes: Preset pixel gray value threshold; Compare the grayscale value of the image pixels in the partition with the threshold value, and perform binary marking processing on the original image pixels; The proportion of the number of pixels whose grayscale value exceeds the threshold is calculated according to the statistical results within the partition, and a proportion range is obtained; wherein the proportion range is between 0 and 1.

3. A low-partition Mini-LED backlight adjustment method according to claim 2, characterized in that: The proportion range is divided into multiple levels, and each level is assigned a set weight value, including: M-1 dividing points are set in ascending order between the proportion range of 0 and 1, the proportion space between 0 and 1 is divided into M levels, and the weight is set for each level according to the requirements for graded weight assignment.

4. A low-partition Mini-LED backlight adjustment method according to claim 1 or 3, characterized in that: The average grayscale value of the pixels in the partition is multiplied by the corresponding grading weight to obtain the updated grayscale value of the pixels.

5. According to claim 3, a low-partition Mini-LED backlight adjustment method is characterized in that: The principles for assigning grading weights are as follows: The smaller the proportion of pixels whose grayscale values ​​exceed the partition threshold, the lower the corresponding level, and the greater the weight value assigned to the corresponding level; the larger the proportion of pixels whose grayscale values ​​exceed the partition threshold, the higher the corresponding level, and the smaller the weight value assigned to the corresponding level.

6. A low-partition Mini-LED backlight adjustment method according to claim 1, characterized in that: The grayscale image and the backlight panel are divided into a plurality of partitions according to the same rule, and the average grayscale value of pixels in each partition is calculated, including: According to the number of backlight beads, the backlight panel and grayscale image are partitioned into m×n backlight source areas; the pixel grayscale values ​​are averaged and the average is used as the basic brightness value of the partition.

7. The low-partition Mini-LED backlight adjustment method according to claim 1, characterized in that: After the backlight source brightness value is output, diffusion processing and nonlinear pixel compensation are performed on the backlight source.

8. A low-partition Mini-LED backlight adjustment device, characterized in that: include: The partition module is configured to: collect a color image, perform grayscale processing on the color image to obtain a grayscale image; divide the grayscale image and the backlight panel into multiple partitions according to the same rule, and calculate the average grayscale value of pixels in each partition; The hierarchical weight assignment module is configured to: count the number of pixels whose grayscale values ​​exceed a preset threshold, calculate the ratio of pixels exceeding the preset threshold to the total number of pixels in the partition, and obtain a proportion range; divide the proportion range into multiple levels, and assign a set weight value to each level; The brightness value output module is configured to: update the grayscale value of each pixel in the partition according to the average value and weight value of the pixel grayscale value; and output the backlight brightness value according to the updated pixel grayscale value.

9. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores computer instructions, and is characterized in that when the computer instructions are executed by the processor, the electronic device executes the low-partition Mini-LED backlight adjustment method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a low-partition Mini-LED backlight adjustment method according to any one of claims 1 to 7 is implemented.

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