Brightness uniformity compensation method for mini-led backlight

Abstract

The present application relates to the technical field of backlight module, disclose a mini-LED backlight brightness uniformity compensation method, comprising: S1: select several feature points on the display screen;Respectively set up environment light collection module for collecting the ambient light information data of each feature point at each feature point;S2: after installation, according to the ambient light information data of each feature point, the light source information data of each feature point is obtained by analysis;S3: the display screen is divided into several grids according to the position of the feature point;S4: according to the ambient light information data of each feature point, the ambient light influence index in each grid is obtained by analysis;S5: according to the ambient light influence index of each grid, the compensation adjustment parameter of backlight zoning in each grid is obtained by analysis;No matter what kind of complex and changeable environment the display screen is in, the best display effect can be presented, which greatly improves the user's visual experience, enhances the applicability and stability of the display screen in different scenes.

Description

Technical Field

[0001] This invention relates to the field of backlight module technology, and more specifically to a method for compensating for the brightness uniformity of mini-LED backlights. Background Technology

[0002] In the current field of display technology, displays are widely used in various places, such as shopping malls, conference rooms, exhibition halls, and transportation hubs. The light source conditions in these indoor environments are complex and varied, so the influence of ambient light at different times varies significantly.

[0003] Traditional display screen backlight adjustment methods are mostly relatively simple; some displays typically adopt a globally uniform brightness adjustment mode, that is, regardless of the actual degree of ambient light interference in different areas of the display screen, the brightness is adjusted according to the same standard.

[0004] However, as home displays become increasingly larger, the drawbacks of a uniform brightness adjustment mode become more and more apparent. Due to the significant differences in the distance and angle between different areas of a large home display and the light source, some areas may be directly facing a strong light source and receiving intense light, while other areas may be in a relatively backlit, shadowed position. If a uniform brightness adjustment is still used, the areas directly facing the strong light source may appear dark and blurry due to insufficient brightness, making it difficult to clearly present image details; while the backlit areas may become glaring and overexposed due to excessive brightness, which not only seriously affects the viewing experience but may also damage the viewer's eyesight. Summary of the Invention

[0005] The purpose of this invention is to provide a method for compensating for the brightness uniformity of mini-LED backlights, thereby solving the above-mentioned technical problems.

[0006] The objective of this invention can be achieved through the following technical solutions: A method for compensating for brightness uniformity in mini-LED backlighting, applicable to displays, includes the following steps: S1: Select several feature points on the display screen; the feature points are arranged in an array; an ambient light acquisition module is set at each feature point, and the ambient light acquisition module is used to collect ambient light information data of each feature point. S2: After installation, the ambient light information data of each feature point is analyzed to obtain the light source information data of each feature point; S3: Divide the display screen into several grids according to the position of the feature points; S4: Analyze the ambient light information data of each feature point to obtain the ambient light influence index within each grid. S5: Analyze the ambient light impact index of each grid to obtain the compensation and adjustment parameters for the backlight zone within each grid.

[0007] As a further aspect of the present invention: in step S4, the process of obtaining the ambient light influence index within each grid is as follows: S10: Obtain a layout diagram within a preset range of the location of the display screen via a mobile terminal; S20: Select multiple main light sources on the layout diagram; S30: Establish the lighting model of each main light source on the display screen according to the model establishment method; S40: And obtain the influence index of each main light source on each grid according to the light source illumination model; S50: Analyze the ambient light information data of each feature point and the light source illumination model of each main light source to obtain the current influencing light source. Analyze the influence index of the current influencing light source on each grid to obtain the ambient light influence index within each grid.

[0008] As a further aspect of the present invention: the ambient light information data includes the type of light source, illuminance, and illumination angle; the compensation adjustment parameters include compensation adjustment coefficients.

[0009] As a further aspect of the present invention: in step S30, the process of establishing the light source illumination model of the display screen by any main light source is as follows; S100; Select the main light source in the layout diagram of the mobile terminal; S200: Turn off other light sources and turn on the main light source. Collect the type of light source, illuminance and illumination angle of the feature point through the ambient light acquisition module of each feature point. S300: Analyze the convolutional neural network model trained based on the light source type, illumination angle, and illumination intensity of each feature point to obtain the light source illumination model of the main light source.

[0010] As a further aspect of the present invention: through the formula: Calculate the influence index of any primary light source on any grid. ; in, For any primary light source For any grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper right corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower right corner of the grid; This is the first preset constant.

[0011] As a further aspect of the present invention: through the formula: ; Calculate the ambient light influence index within any grid cell. and compensation adjustment coefficient ; in, To affect the number of light sources, ; For the first The influence index of the main light source corresponding to each influencing light source on the grid; This is the first preset constant.

[0012] As a further aspect of the present invention: the display screen includes a frame and a screen; the feature points include frame feature points and screen feature points; the ambient light acquisition module includes a frame ambient light acquisition module and a screen ambient light acquisition module.

[0013] As a further aspect of the present invention: through the formula: ; Calculate the real-time acquisition frequency of the ambient light acquisition module ; in, As the first judgment function, when hour, ;when hour, ; Based on the sampling frequency; The number of bounding box feature points. ; The current time; Unit duration; For the first The illumination level of each bounding feature point at the current time; For the first The illumination level of each bounding feature point at the corresponding moment after a unit of time has passed since the current time; The preset change value; This refers to the state adjustment coefficient; This is the second preset constant.

[0014] As a further aspect of the present invention: through the formula: ; Calculate the usage status adjustment coefficient ; in, The number of feature points on the screen. ; For the first The illumination level of each screen feature point at the current time; For the first The illumination level of a screen feature point at a time corresponding to a unit of time elapsed since the current time; This is the third preset constant.

[0015] As a further aspect of the present invention: the ambient light acquisition module of the frame is located at the front end of the frame; a light shield is provided at the end of the ambient light acquisition module of the frame that is close to the screen.

[0016] The beneficial effects of this invention are: (1) This invention first selects several feature points on the display screen; then sets up an ambient light acquisition module at each feature point to collect ambient light information data, which can comprehensively and meticulously acquire the light information of the environment in which the display screen is located. After installation, the ambient light information data of each feature point is analyzed to obtain the light source information data of each feature point; the display screen is divided into several grids according to the position of the feature points; the ambient light influence index of each grid is obtained by analyzing the light source distribution model of the display screen and the ambient light information data of each feature point; this can accurately quantify the degree of interference of the backlight partition of different grids with ambient light; the acquisition of this index makes the adjustment of the display screen backlight no longer blind, but... With a clear direction and basis, the ambient light impact index of each grid is analyzed to obtain the compensation adjustment parameters for the backlight zones within each grid. Personalized compensation adjustments can be made for the backlight zones within each grid. When the ambient light is strong, the backlight zones within the corresponding grid can appropriately increase their brightness according to the compensation adjustment parameters to ensure clear visibility of the image. When the ambient light is weak, the backlight zones within the grid reduce their brightness to avoid excessive brightness and eye strain, while also effectively saving energy. In this way, regardless of the complex and changing ambient light conditions, the display can always present the best display effect, greatly improving the user's visual experience and enhancing the applicability and stability of the display in different scenarios. Attached Figure Description

[0017] The invention will now be further described with reference to the accompanying drawings.

[0018] Figure 1 This is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 As shown, in one embodiment, a method for compensating for the brightness uniformity of mini-LED backlight is provided, applicable to a display screen, comprising the following steps: S1: Select several feature points on the display screen; the feature points are arranged in an array; an ambient light acquisition module is set at each feature point, and the ambient light acquisition module is used to collect ambient light information data of each feature point. S2: After installation, the ambient light information data of each feature point is analyzed to obtain the light source information data of each feature point; S3: Divide the display screen into several grids according to the position of the feature points; S4: Analyze the ambient light information data of each feature point to obtain the ambient light influence index within each grid. S5: Analyze the ambient light influence index of each grid to obtain the compensation and adjustment parameters for the backlight zone within each grid; Through the above technical solution, this embodiment first selects several feature points on the display screen; then, an ambient light acquisition module is set at each feature point to collect ambient light information data, which can comprehensively and meticulously acquire the light information of the environment in which the display screen is located. After installation, the ambient light information data of each feature point is analyzed to obtain the light source information data of each feature point; the display screen is divided into several grids according to the location of the feature points; based on the light source distribution model of the display screen and the ambient light information data of each feature point, the ambient light influence index of each grid is obtained; this can accurately quantify the degree of interference of ambient light on the backlight partitions of different grids; the determination of this index makes the adjustment of the display screen backlight no longer blind. Instead of focusing on the immediate goal, the system now has a clear direction and basis. Finally, based on the ambient light impact index of each grid, the compensation adjustment parameters for the backlight zones within each grid are obtained. Personalized compensation adjustments can be made for the backlight zones within each grid. When the ambient light is strong, the backlight zones within the corresponding grid can appropriately increase their brightness according to the compensation adjustment parameters to ensure clear visibility of the image. When the ambient light is weak, the backlight zones within the grid reduce their brightness to avoid excessive brightness and eye strain, while also effectively saving energy. In this way, regardless of the complex and changing ambient light conditions, the display can always present the best display effect, greatly improving the user's visual experience and enhancing the applicability and stability of the display in different scenarios.

[0021] It should be noted that this display screen is a large, fixed-installation home display screen.

[0022] As one embodiment of the present invention, in step S4, the process of obtaining the ambient light influence index within each grid is as follows: S10: Obtain a layout diagram within a preset range of the location of the display screen via a mobile terminal; S20: Select multiple main light sources on the layout diagram; S30: Establish the lighting model of each main light source on the display screen according to the model establishment method; S40: And obtain the influence index of each main light source on each grid according to the light source illumination model; S50: Analyze the ambient light information data of each feature point and the light source illumination model of each main light source to obtain the current influencing light source. Analyze the influence index of the current influencing light source on each grid to obtain the ambient light influence index within each grid. Through the above technical solution, this embodiment first obtains a layout map of the preset range of the display screen's location via a mobile terminal; then, it selects multiple main light sources on the layout map. This method can be done manually or automatically by identifying the layout map. Next, it establishes a light source illumination model for each main light source on the display screen based on a model building method; and obtains the influence index of each main light source on each grid based on the light source illumination model. Based on the current ambient light information data of each feature point and the light source illumination model of each main light source, it analyzes and obtains the current influencing light source (the influencing light source is the main light source currently emitting light). Based on the influence index of the current influencing light source on each grid, it analyzes and obtains the ambient light influence index within each grid. This comprehensive analysis process can reflect the real-time and dynamic changes in the lighting environment of the display screen, and accurately grasp the degree of ambient light influence within each grid. Based on these accurate analysis results, the display parameters of the display screen can be adjusted in a targeted manner, such as brightness and contrast, thereby effectively improving the display effect of the display screen under different ambient light conditions, providing users with a clearer and more comfortable visual experience. It also helps to extend the lifespan of the display screen, reduce energy consumption, and has significant economic and social benefits.

[0023] It should be noted that the current method of obtaining the influencing light source is as follows: the ambient light information data of each feature point and the light source illumination model of each main light source are input into the trained convolutional neural convolutional model to separate the light source that actually produces a significant illumination effect on each area of ​​the display screen, that is, the main light source that is currently emitting light, i.e., the influencing light source; the training process of the convolutional neural convolutional model is existing technology and will not be described in detail here.

[0024] In one embodiment of the present invention, the ambient light information data includes light source type, illuminance, and illumination angle; the compensation adjustment parameters include compensation adjustment coefficients. Through the above technical solution, the ambient light acquisition module of this embodiment can adopt a miniature fiber optic spectrometer to acquire spectral information data and light intensity of corresponding feature points, obtain the type of light source based on the spectral information data, obtain the illuminance based on the light intensity, and obtain the light angle through an optical angle sensor. It should be noted that the methods for obtaining the type of light source based on spectral information data and the methods for obtaining illuminance based on light intensity are existing technologies and will not be described in detail here.

[0025] As one embodiment of the present invention, in step S30, the process of establishing the light source illumination model of the display screen by any main light source is as follows: S100; Select the main light source in the layout diagram of the mobile terminal; S200: Turn off other light sources and turn on the main light source. Collect the type of light source, illuminance and illumination angle of the feature point through the ambient light acquisition module of each feature point. S300: Analyze the convolutional neural network model trained based on the light source type, illumination angle and illumination intensity of each feature point to obtain the light source illumination model of the main light source; Through the above technical solution, this embodiment first selects the main light source in the layout diagram of the mobile terminal; then, other light sources are turned off, and the main light source is turned on. The spectral information data, illuminance, and illumination angle of the feature point are collected through the ambient light acquisition module of each feature point; finally, the spectral information data, illumination angle, and illuminance of each feature point are input into the trained convolutional neural network model for analysis to obtain the light source illumination model of the main light source. Since the interference of other light sources is eliminated during data acquisition, the spectral information data, illuminance, and illumination angle of each feature point are more accurate and pure, greatly improving the data quality. Inputting high-quality data into the trained convolutional neural network model for analysis can give full play to the powerful processing capabilities of the model and quickly and accurately derive the illumination model of the main light source. This illumination model provides a solid and reliable foundation for subsequent operations such as accurate illumination simulation and display effect optimization on the mobile terminal, which helps to improve the display quality of the mobile terminal under different lighting environments, bringing users a better and more realistic visual experience. At the same time, it can also provide a strong basis for the research and development and design of the mobile terminal, and promote further optimization and improvement of product performance.

[0026] It should be noted that the training process of the convolutional neural network model is based on existing technology. The specific training process is as follows: First, a large amount of light source illumination data samples are collected. These samples cover various types of major light sources, including but not limited to LED light sources and fluorescent light sources. Each light source sample contains rich spectral information, illumination intensity, and illumination angle, among other feature parameters. Next, the collected data is preprocessed. Then, a convolutional neural network model architecture is constructed. This model includes multiple convolutional layers, pooling layers, and fully connected layers. The convolutional layers perform sliding convolution operations on the input data using convolutional kernels to extract local features from the data; the pooling layers... The feature maps output by the convolutional layers are downsampled to reduce the amount of data and enhance the robustness of the model. The fully connected layers integrate and classify the features extracted from the previous layers, ultimately outputting the illumination model of the main light source. Then, the preprocessed data is divided into training, validation, and test sets according to a certain ratio. Finally, during model training, stochastic gradient descent or its improved version is used to update the model parameters. At the same time, the mean squared error loss function is used to measure the difference between the model output and the true label. Finally, through continuous iterative training, the model's performance on the validation set reaches a stable level and meets the requirements, at which point the model training is considered complete.

[0027] As one embodiment of the present invention, the formula is as follows: ; Calculate the influence index of any primary light source on any grid. ; in, For any primary light source For any grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper right corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower right corner of the grid; This is the first preset constant; Through the above technical solution, this embodiment In the process of modeling the illumination of the main light source, the average illuminance of the top left, bottom left, top right, and bottom right feature points of the mesh is used. The average illuminance of the feature points at the four corners of the mesh reflects the influence index of the main light source on the mesh. The influence index of the main light source on the mesh can intuitively reflect the degree of influence of the main light source on the mesh. It should be noted that the first preset constant These are preset values, obtained based on experience, and will not be detailed here.

[0028] As one embodiment of the present invention: using the formula: Calculate the ambient light influence index within any grid cell. and compensation adjustment coefficient ; in, To affect the number of light sources, ; For the first The influence index of the main light source corresponding to each influencing light source on the grid; This is the first preset constant; Through the above technical solution, this embodiment This is the cumulative value of the influence index of the main light source corresponding to all influencing light sources on this grid; the larger the cumulative value, the greater the ambient light intensity received by this grid; therefore, under the current environment, the ambient light influence index within this grid is... The larger the value, the greater the ambient light impact index within the grid. The larger the value, the greater the ambient light intensity the grid receives, therefore the higher the brightness of the grid needs to be adjusted, and the higher the compensation adjustment coefficient needs to be. The larger the value, the greater the target brightness of each backlight zone. The target brightness is the product of the current brightness of each backlight zone and the compensation adjustment coefficient. An upper limit threshold is set for the target brightness. If the target brightness is higher than the upper limit threshold, the target brightness is the upper limit threshold. It should be noted that the method for obtaining the current brightness of each backlight zone is existing technology and will not be detailed here; Preset constant number one. and preset standard brightness These are preset values, obtained based on experience, and will not be detailed here.

[0029] In one embodiment of the present invention, the display screen includes a frame and a screen; the feature points include frame feature points and screen feature points; the ambient light acquisition module includes a frame ambient light acquisition module and a screen ambient light acquisition module; the frame ambient light acquisition module is located at the front end of the frame; a light shield is provided at the end of the frame ambient light acquisition module near the screen; Through the above technical solution, in this embodiment, the feature points on the frame are frame feature points, and the ambient light acquisition module set on the frame feature points is a frame ambient light acquisition module; the feature points on the screen are screen feature points, and the ambient light acquisition module set on the screen feature points is a screen ambient light acquisition module; by setting the frame ambient light acquisition module at the front end of the frame, the frame ambient light acquisition module can more accurately obtain the ambient light information data of the front of the display screen; by setting a light shield at the end of the frame ambient light acquisition module near the screen, the influence of the screen light on the acquisition of the frame ambient light acquisition module when the screen is working can be avoided, thereby improving the accuracy of the data acquired by the frame ambient light acquisition module.

[0030] As one embodiment of the present invention, the formula is as follows: ; Calculate the real-time acquisition frequency of the ambient light acquisition module ; in, As the first judgment function, when hour, ;when hour, ; Based on the sampling frequency; The number of bounding box feature points. ; The current time; Unit duration; For the first The illumination level of each bounding feature point at the current time; For the first The illumination level of each bounding feature point at the corresponding moment after a unit of time has passed since the current time; The preset change value; This refers to the state adjustment coefficient; This is the second preset constant; Through the above technical solution, this embodiment For the first The absolute value of the difference between the illumination intensity of each bounding feature point at the current time and the illumination intensity at the corresponding time a unit of time ago; This is the cumulative value of the absolute values ​​of the differences between the illumination intensity of all bounding feature points at the current time and the illumination intensity at the corresponding time a unit of time ago; This is a preset change value under the current usage state; The second difference between the cumulative absolute value of the difference between the illumination intensity of all border feature points at the current time and the illumination intensity at the corresponding moment a unit time ago, and the preset change value under the current usage state; in the formula In the first judgment function In It refers to This is used to determine whether the cumulative absolute value of the difference between the current illumination intensity of all border feature points and the illumination intensity at the corresponding moment a unit time ago exceeds the preset change value in the current usage state; when If the cumulative absolute value of the difference between the current illumination level and the illumination level at the corresponding time within a unit of time in the past exceeds the preset change value under the current usage state, it indicates that the ambient light is changing significantly at the current time, therefore the sampling frequency needs to be increased. This avoids subsequent processing errors caused by untimely data acquisition or inaccurate data, thereby effectively improving the stability and reliability of the entire system under complex lighting conditions; when If the cumulative absolute value of the difference between the current illumination intensity of all border feature points and the illumination intensity at the corresponding time within a unit of time in the past does not exceed the preset change value under the current usage state, then the ambient light changes are small at the current time, and therefore there is no need to increase the sampling frequency. This reduces system resource consumption to some extent. While ensuring sufficient and effective information is obtained, unnecessary frequent data collection operations are avoided, reducing the system's computational burden and energy consumption, extending equipment lifespan, and improving system operating efficiency. This allows the system to utilize limited resources more efficiently to complete other important tasks. It should be noted that the unit duration Preset change value Second preset constant These are preset values, obtained based on experience, and will not be detailed here.

[0031] As one embodiment of the present invention, the formula is as follows: ; Calculate the usage status adjustment coefficient ; in, The number of feature points on the screen. ; For the first The illumination level of each screen feature point at the current time; For the first The illumination level of a screen feature point at a time corresponding to a unit of time elapsed since the current time; This is the third preset constant; Through the above technical solution, this embodiment For the first The absolute value of the difference between the illumination of a screen feature point at the current time and the illumination at the corresponding moment a unit of time ago; This is the cumulative value of the absolute values ​​of the differences between the current illumination level and the illumination level at the corresponding time within a unit of time past the current time for all screen feature points. This is the average of the absolute values ​​of the differences between the current illumination level and the illumination level at the corresponding time within a unit of time in the past for all screen feature points. A larger average of these absolute values ​​indicates a faster and greater rate of change in the current screen brightness, thus requiring higher precision in brightness control. Therefore, the usage state adjustment coefficient is used. The smaller the value, the smaller the preset change value under the current usage state, thus increasing the sampling frequency; conversely, the smaller the average absolute value of the difference between the illumination of all screen feature points at the current time and the illumination at the corresponding moment a unit of time ago, the lower the degree of change of the current screen usage, and therefore the lower the requirement for screen brightness accuracy, thus the lower the usage state adjustment coefficient. The larger the value, the greater the preset change value under the current usage state, thus reducing the sampling frequency; It should be noted that the third preset constant These are preset values, obtained based on experience, and will not be detailed here.

[0032] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for compensating for brightness uniformity in mini-LED backlighting, applicable to displays, characterized in that, Includes the following steps: S1: Select several feature points on the display screen; the feature points are arranged in an array; an ambient light acquisition module is set at each feature point, and the ambient light acquisition module is used to collect ambient light information data of each feature point. S2: After installation, the ambient light information data of each feature point is analyzed to obtain the light source information data of each feature point; S3: Divide the display screen into several grids according to the position of the feature points; S4: Analyze the ambient light information data of each feature point to obtain the ambient light influence index within each grid. S5: Analyze the ambient light impact index of each grid to obtain the compensation and adjustment parameters for the backlight zone within each grid.

2. The method for compensating the brightness uniformity of mini-LED backlight according to claim 1, characterized in that, In step S4, the process of obtaining the ambient light influence index within each grid is as follows: S10: Obtain a layout diagram within a preset range of the location of the display screen via a mobile terminal; S20: Select multiple main light sources on the layout diagram; S30: Establish the lighting model of each main light source on the display screen according to the model establishment method; S40: And obtain the influence index of each main light source on each grid according to the light source illumination model; S50: Analyze the ambient light information data of each feature point and the light source illumination model of each main light source to obtain the current influencing light source. Analyze the influence index of the current influencing light source on each grid to obtain the ambient light influence index within each grid.

3. The method for compensating for brightness uniformity of mini-LED backlight according to claim 2, characterized in that, The ambient light information data includes the type of light source, illuminance, and illumination angle; the compensation adjustment parameters include the compensation adjustment coefficient.

4. The method for compensating for brightness uniformity of mini-LED backlight according to claim 3, characterized in that, In step S30, the process of establishing the light source illumination model of the display screen for any main light source is as follows; S100; Select the main light source in the layout diagram of the mobile terminal; S200: Turn off other light sources and turn on the main light source. Collect the type of light source, illuminance and illumination angle of the feature point through the ambient light acquisition module of each feature point. S300: Analyze the convolutional neural network model trained based on the light source type, illumination angle, and illumination intensity of each feature point to obtain the light source illumination model of the main light source.

5. The method for compensating for brightness uniformity of mini-LED backlight according to claim 4, characterized in that, Through the formula: ； Calculate the influence index of any primary light source on any grid. ; in, For any primary light source For any grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower left corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the upper right corner of the grid; In the process of establishing the lighting model of the main light source, the illumination intensity of the feature point in the lower right corner of the grid; This is the first preset constant.

6. The method for compensating for brightness uniformity of mini-LED backlight according to claim 5, characterized in that, Through the formula: ； Calculate the ambient light influence index within any grid cell. and compensation adjustment coefficient ; in, To affect the number of light sources, ; For the first The influence index of the main light source corresponding to each influencing light source on the grid; This is the first preset constant; Preset standard brightness; This represents the current actual brightness of each backlight zone within the grid.

7. The method for compensating for brightness uniformity of mini-LED backlight according to claim 6, characterized in that, The display screen includes a frame and a screen; the feature points include frame feature points and screen feature points; the ambient light acquisition module includes a frame ambient light acquisition module and a screen ambient light acquisition module.

8. The method for compensating the brightness uniformity of mini-LED backlight according to claim 7, characterized in that, Through the formula: ； Calculate the real-time acquisition frequency of the ambient light acquisition module ; in, As the first judgment function, when hour, ;when hour, ; Based on the sampling frequency; The number of bounding box feature points. ; The current time; Unit duration; For the first The illumination level of each bounding feature point at the current time; For the first The illumination level of each bounding feature point at the corresponding moment after a unit of time in the past; The preset change value; This refers to the state adjustment coefficient; This is the second preset constant.

9. The method for compensating for brightness uniformity of mini-LED backlight according to claim 8, characterized in that, Through the formula: ； Calculate the usage status adjustment coefficient ; in, The number of feature points on the screen. ; For the first The illumination level of each screen feature point at the current time; For the first The illumination level of a screen feature point at a time corresponding to a unit of time elapsed since the current time; This is the third preset constant.

10. The method for compensating the brightness uniformity of mini-LED backlight according to claim 9, characterized in that, The ambient light acquisition module of the frame is located at the front end of the frame; a light shield is set at the end of the ambient light acquisition module of the frame that is closer to the screen.

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