Backlight dimming method and device, display apparatus, and storage medium

Abstract

The application discloses a backlight dimming method and device, a display device and a storage medium, and relates to the technical field of display devices. The backlight dimming method comprises the following steps: dividing an input image into a high-frequency detail pixel area and a low-frequency brightness pixel area; determining an image division level according to the grayscale value distribution of the high-frequency detail pixel area, and performing image division on the low-frequency brightness pixel area according to the image division level to obtain a plurality of low-frequency sub-areas of different levels; calculating the cumulative density function of each level of low-frequency sub-area, and performing backlight dimming according to the cumulative density function. The application can reduce the power consumption of the Mini LED backlight under the premise of ensuring that the image quality is not affected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of display devices, in particular to a backlight dimming method and device, a display device and a storage medium. BACKGROUND

[0002] In recent years, Mini LED (Mini Light Emitting Diode) backlight display technology has been widely used because it can achieve better contrast and brightness performance through zoned backlight.

[0003] In the practical application of Mini LED backlight display technology, the backlight is divided into multiple independently controllable regions, and the brightness of these regions is adjusted in real time according to the current displayed picture content to achieve better picture quality. When a high-light region appears in the picture, the corresponding Mini LED receives a peak current drive to ensure sufficient brightness output. However, due to the large amount of heat generated by the peak current, the power consumption increases, which directly affects the service life of the Mini LED.

[0004] In summary, how to reduce the power consumption of Mini LED backlight while ensuring that the picture quality is not affected has become a technical problem that needs to be solved in the field. SUMMARY

[0005] The main purpose of the present application is to provide a backlight dimming method, device, display device and storage medium, which aims to reduce the power consumption of Mini LED backlight while ensuring that the picture quality is not affected.

[0006] To achieve the above-mentioned purpose, the present application provides a backlight dimming method, which comprises:

[0007] segmenting an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region;

[0008] determining an image division level according to the gray value distribution of the high-frequency detail pixel region, and performing image division on the low-frequency brightness pixel region according to the image division level to obtain multiple low-frequency sub-regions of different levels;

[0009] calculating the cumulative density function of each level of low-frequency sub-region, and performing backlight dimming according to the cumulative density function.

[0010] In an embodiment, the step of determining an image division level according to the gray value distribution of the high-frequency detail pixel region comprises:

[0011] graying the high-frequency detail pixel region, and dividing the graying high-frequency detail pixel region into multiple high-frequency sub-regions;

[0012] obtaining a gray value distribution of each of the high-frequency sub-regions, and calculating a gray value threshold of each of the high-frequency sub-regions according to the gray value distribution;

[0013] performing image division on the high-frequency detail pixel region according to the gray value threshold, and determining an image division level.

[0014] In an embodiment, the step of obtaining a gray value distribution of each of the high-frequency sub-regions, and calculating a gray value threshold of each of the high-frequency sub-regions according to the gray value distribution, comprises:

[0015] obtaining a gray value distribution of each of the high-frequency sub-regions, and calculating a sum of pixel gray values of each of the high-frequency sub-regions according to the gray value distribution;

[0016] obtaining a total number of pixels of each of the high-frequency sub-regions;

[0017] calculating an initial gray value threshold according to the sum of pixel gray values of each of the high-frequency sub-regions and the total number of pixels;

[0018] determining a gray value threshold of each of the high-frequency sub-regions based on the initial gray value threshold by using an iterative algorithm.

[0019] In an embodiment, the step of calculating a cumulative density function of each level of low-frequency sub-regions comprises:

[0020] determining a maximum gray value of each level of low-frequency sub-regions;

[0021] for each level of low-frequency sub-regions, summing up gray values in the low-frequency sub-region that do not exceed the maximum gray value to obtain a cumulative density function.

[0022] In an embodiment, the step of performing backlight dimming according to the cumulative density function comprises:

[0023] performing symmetric operation on the cumulative density function based on a preset linear function to obtain a dimming curve;

[0024] performing backlight dimming according to the dimming curve.

[0025] In an embodiment, the step of performing backlight dimming according to the dimming curve comprises:

[0026] determining a gray scale value of each pixel in an input image after backlight processing according to the dimming curve;

[0027] calculating a compensation coefficient according to a preset nonlinear curve equation;

[0028] The pixel gray scale values are multiplied by the compensation coefficients respectively to obtain new output brightness values, and backlight dimming is performed according to the new output brightness values.

[0029] In an embodiment, the step of dividing the input image into a high-frequency detail pixel region and a low-frequency brightness pixel region comprises:

[0030] The input image is input into a preset linear filter for processing.

[0031] The high-frequency information and the low-frequency information of the input image are separated by the linear filter to obtain the high-frequency detail pixel region and the low-frequency brightness pixel region.

[0032] In addition, to achieve the above object, the present application further provides a backlight dimming device, which comprises:

[0033] An image division module is configured to divide an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region.

[0034] An image division module is configured to divide an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region.

[0035] A backlight dimming module is configured to calculate a cumulative density function of each level of low-frequency sub-region, and perform backlight dimming according to the cumulative density function.

[0036] In addition, to achieve the above object, the present application further provides a display device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the backlight dimming method as described above.

[0037] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the backlight dimming method as described above.

[0038] In addition, to achieve the above object, the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the backlight dimming method as described above.

[0039] The backlight dimming method provided in the application divides an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region; then, determines an image division level according to the gray value distribution of the high-frequency detail pixel region, and performs image division on the low-frequency brightness pixel region according to the image division level to obtain a plurality of low-frequency sub-regions of different levels; finally, calculates the cumulative density function of each level of low-frequency sub-region, and performs backlight dimming according to the cumulative density function.

[0040] As can be seen, the high-frequency detail pixel region and the low-frequency brightness pixel region of the input image are first divided in the application, the image level division of the low-frequency brightness pixel region is realized through the analysis of the gray value distribution of the high-frequency detail pixel region, and then the intelligent adjustment of the backlight brightness is performed on the input image according to the level division of the low-frequency brightness pixel region, so that the backlight brightness is dynamically adjusted according to the actual brightness distribution of the input image, unnecessary peak current is avoided, and the power consumption of the Mini LED backlight is reduced under the premise of ensuring the image quality. BRIEF DESCRIPTION OF DRAWINGS

[0041] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0043] Figure 1 A flowchart is provided for the backlight dimming method embodiment one of the application;

[0044] Figure 2 Another flowchart is provided for the backlight dimming method embodiment two of the application;

[0045] Figure 3 A backlight dimming flowchart is provided for the backlight dimming method embodiment two of the application;

[0046] Figure 4 A module structure diagram of the backlight dimming device of the embodiment of the application is provided;

[0047] Figure 5 A device structure diagram of the hardware running environment involved in the backlight dimming method in the embodiment of the application is provided.

[0048] The purpose implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are merely for the purpose of illustrating the technical solutions of the present application and are not intended to limit the present application.

[0050] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings of the specification and specific embodiments.

[0051] In recent years, Mini LED backlight display technology has been widely used because it can achieve better contrast and brightness performance through zoned backlight.

[0052] In the actual application of Mini LED backlight display technology, the backlight is divided into multiple independently controllable regions, and the brightness of these regions is adjusted in real time according to the current displayed picture content to obtain better picture quality. When a high-light region appears in the picture, the corresponding Mini LED will receive a peak current drive to ensure sufficient brightness output. However, due to the large heat generated by the peak current, the power consumption rises, which will directly affect the service life of the Mini LED.

[0053] In summary, how to reduce the power consumption of Mini LED backlight while ensuring that the picture quality is not affected has become a technical problem that needs to be solved in the field.

[0054] The main solution of the embodiments of the present application is to divide the input image into a high-frequency detail pixel region and a low-frequency brightness pixel region; determine the image division level according to the gray value distribution of the high-frequency detail pixel region, and divide the low-frequency brightness pixel region according to the image division level to obtain multiple low-frequency sub-regions of different levels; calculate the cumulative density function of each level of low-frequency sub-region, and perform backlight dimming according to the cumulative density function.

[0055] The backlight dimming method proposed in the embodiments of the present application first divides the high-frequency detail pixel region and the low-frequency brightness pixel region of the input image, analyzes the gray value distribution of the high-frequency detail pixel region to realize the image level division of the low-frequency brightness pixel region, and then adjusts the backlight brightness of the input image according to the level division of the low-frequency brightness pixel region. Therefore, the backlight brightness will be dynamically adjusted according to the actual brightness distribution of the input image, avoiding unnecessary use of peak current, thereby reducing the power consumption of Mini LED backlight while ensuring that the picture quality is not affected.

[0056] It should be noted that the execution subject of the present embodiment can be a display device using Mini LED display technology. The display device can be a smart television, a smart screen, a broadcast television monitor, or other electronic devices with display functions. The present embodiment and the following embodiments will be described below with reference to the display device.

[0057] Based on this, the backlight dimming method provided in the embodiments of the present application is as follows Figure 1 , Figure 1 FIG. 1 is a flowchart of a first embodiment of the backlight dimming method of the present application.

[0058] In the embodiment, the backlight dimming method is applied to a display device, and the backlight dimming method comprises steps S10-S30:

[0059] In step S10, the input image is divided into a high-frequency detail pixel region and a low-frequency luminance pixel region.

[0060] The input image (i.e., the image to be displayed by the display device) is divided into a high-frequency detail pixel region and a low-frequency luminance pixel region, wherein the high-frequency detail pixel region contains the detail information such as edges and textures in the input image, and usually corresponds to the region with fast change of gray value in the input image; the low-frequency luminance pixel region contains the overall luminance information of the input image, and reflects the average luminance or luminance distribution of the input image, and each pixel point in the high-frequency detail pixel region and the low-frequency luminance pixel region can be one-to-one corresponding.

[0061] In a feasible embodiment, step S10 can comprise steps S101-S102:

[0062] In step S101, the input image is input into a preset linear filter for processing.

[0063] The input image (i.e., the image to be displayed by the display device) is input into a preset linear filter for processing, and the linear filter is used for linear transformation of the input image. The linear filter includes but is not limited to a box filter, a mean filter, a Gaussian filter, etc. For example, the box filter can smooth the image by calculating the average value of the pixels in the neighborhood of the input image, the mean filter can replace the pixel value by calculating the average value of the pixels around each pixel point in the input image, and the Gaussian filter can determine the weight according to the shape of the Gaussian function, and perform weighted average on the pixels in the neighborhood to achieve better smoothing effect while retaining more image edge information.

[0064] In step S102, the high-frequency information and the low-frequency information of the input image are separated by the linear filter to obtain the high-frequency detail pixel region and the low-frequency luminance pixel region.

[0065] The high-frequency information and the low-frequency information of the input image are separated by the linear filter, wherein the high-frequency information usually represents the detail part in the input image, such as edges, textures, etc., which change quickly in the image and have a high frequency, and the low-frequency information represents the smooth region in the image, such as luminance, color, etc., which change slowly in the image and have a low frequency.

[0066] After the filtering, a high-frequency detail pixel region and a low-frequency brightness pixel region of the input image are obtained, wherein the high-frequency detail pixel region contains edge, texture and other detail information in the input image, and generally corresponds to a region with a rapid change in the input image; the low-frequency brightness pixel region contains overall brightness information of the input image, and reflects average brightness or brightness distribution of the input image; each pixel point in the high-frequency detail pixel region and the low-frequency brightness pixel region can be one-to-one corresponding.

[0067] In step S20, an image division level is determined according to the gray value distribution of the high-frequency detail pixel region, and the low-frequency brightness pixel region is divided into image according to the image division level, to obtain a plurality of low-frequency sub-regions of different levels;

[0068] The gray value distribution of the high-frequency detail pixel region is analyzed, and the high-frequency detail pixel region is divided into different levels according to the statistical characteristics (such as mean, variance) or histogram features of the gray value, and the complexity and detail richness of the image content in different levels are different.

[0069] According to the image division level determined in the high-frequency detail pixel region, the low-frequency brightness pixel region is divided into a plurality of low-frequency sub-regions, and each low-frequency sub-region corresponds to a specific brightness level and detail richness, thereby allowing more precise control of the backlight according to the level division.

[0070] In a feasible embodiment, step S20 can include steps S201-S203:

[0071] In step S201, the high-frequency detail pixel region is subjected to a gray processing, and the high-frequency detail pixel region after the gray processing is divided into a plurality of high-frequency sub-regions;

[0072] The high-frequency detail pixel region is subjected to a gray processing, i.e. the image of the high-frequency detail pixel region (hereinafter referred to as high-frequency image) is converted from a color space to a gray space, so as to more intuitively analyze the detail information of the high-frequency image, and the high-frequency image after the gray processing will only contain gray value information, but no longer contain color information.

[0073] Exemplarily, the high-frequency detail pixel region can be subjected to a gray processing by using a weighted average method, i.e. the gray value is calculated according to different weights of red (R), green (G) and blue (B) color channels in the color image. Specifically, the weighted average method multiplies the values of the red, green and blue color channels of each pixel point by the corresponding weight coefficients, and then adds the three weighted values to obtain the gray value of the pixel point.

[0074] In the weighted average method, the formula for gray processing of the high-frequency detail pixel area using the weighted average method can be expressed as: Gray = 0.299R + 0.587G + 0.144B, wherein Gray represents the gray value, R, G, and B represent the values of the red, green, and blue color channels respectively, and the weight coefficients are 0.299, 0.587, and 0.144, corresponding to the red, green, and blue color channels respectively. These weight coefficients are derived based on the research on the sensitivity of the human eye to different colors, and can better reflect the brightness information in the color image.

[0075] Then, the high-frequency detail pixel area after gray processing is divided into multiple high-frequency sub-regions, which can be divided according to fixed size or shape, and the division method can be set based on the actual application scenario, which is not limited in the embodiment.

[0076] In step S202, the gray value distribution of each high-frequency sub-region is obtained, and the gray value threshold of each high-frequency sub-region is calculated according to the gray value distribution;

[0077] After the high-frequency detail pixel area after gray processing is divided into multiple high-frequency sub-regions, the gray value distribution of each high-frequency sub-region is obtained, and the gray value threshold of each high-frequency sub-region is calculated according to the gray value distribution. The gray value threshold can be multiple different thresholds determined according to the gray value distribution. By determining the gray value threshold, the pixel points in each high-frequency sub-region can be divided according to their gray values.

[0078] In a feasible embodiment, step S202 can include steps S2021-S2024:

[0079] In step S2021, the gray value distribution of each high-frequency sub-region is obtained, and the sum of the pixel gray values of each high-frequency sub-region is calculated according to the gray value distribution;

[0080] The gray value distribution of each high-frequency sub-region is obtained, that is, each pixel point in each high-frequency sub-region is traversed, and its gray value is recorded. Then, the sum of the gray values of all pixel points in each high-frequency sub-region is calculated according to the recorded gray values. The sum of the gray values is used to calculate the initial gray value threshold of the high-frequency sub-region in the subsequent steps.

[0081] In step S2022, the total number of pixels of each high-frequency sub-region is obtained;

[0082] The total number of pixels of each high-frequency sub-region is determined, for example, by simply counting the pixel points in the high-frequency sub-region. The total number of pixels is used to calculate the initial gray value threshold of the high-frequency sub-region in the subsequent steps.

[0083] Step S2023, according to the sum of the pixel gray value of each high-frequency sub-region and the total number of pixels, the initial gray value threshold is calculated;

[0084] After determining the sum of the pixel gray value of each high-frequency sub-region and the total number of pixels, the initial gray value threshold of the high-frequency sub-region is calculated, for example, the sum of the pixel gray value is divided by the total number of pixels, thereby obtaining the average gray value as the initial gray value threshold of the high-frequency sub-region.

[0085] Step S2024, using an iterative algorithm, the gray value threshold of each high-frequency sub-region is determined based on the initial gray value threshold.

[0086] In order to obtain more accurate gray value threshold, using an iterative algorithm based on the initial gray value threshold, by continuously adjusting to determine more accurate threshold to find the best gray value threshold. It is worth mentioning that in the iteration process, multiple thresholds can be determined for each high-frequency sub-region to divide each high-frequency sub-region into multiple levels, and the iteration process will continue until the best threshold that meets certain stopping conditions is found, such as the difference between the two thresholds before and after iteration is less than a fixed difference value, then stop iteration.

[0087] Step S203, according to the gray value threshold, the high-frequency detail pixel area is image divided, and the image division level is determined.

[0088] For each high-frequency sub-region, after determining one or more gray value thresholds, the high-frequency detail pixel area can be image divided according to the determined gray value threshold, and the image division level is determined, that is, a high-frequency sub-region is divided into multiple levels, and each level corresponds to a specific gray value range.

[0089] Step S30, the cumulative density function of each level of low-frequency sub-region is calculated, and the backlight dimming is performed according to the cumulative density function.

[0090] It should be noted that the cumulative density function is used to describe the cumulative characteristics of data distribution, and in this embodiment, the cumulative density function is used to describe the cumulative probability distribution of each gray value in each level of low-frequency sub-region.

[0091] For each different level of low-frequency sub-region, the cumulative density function of the low-frequency sub-region is calculated, which represents the proportion of pixels in the low-frequency sub-region that are less than or equal to a certain gray value (usually the maximum gray value in the sub-region). By calculating the cumulative density function of the low-frequency sub-region, the brightness distribution characteristics of each low-frequency sub-region can be intuitively understood.

[0092] Then, according to the result of the cumulative density function, the backlight brightness is adjusted. Generally, for the sub-regions with higher brightness, the backlight brightness is also increased accordingly; while for the sub-regions with lower brightness or less details, the backlight brightness is decreased. Such dynamic backlight adjustment helps to improve the display effect and reduce energy consumption.

[0093] In a feasible embodiment, the step of "calculating the cumulative density function of the low-frequency sub-regions of each level" in step S30 can include steps S301-S302:

[0094] In step S301, the maximum gray value of each low-frequency sub-region of each level is determined.

[0095] For each low-frequency sub-region divided according to the image division level, the pixel points of different levels of low-frequency sub-regions are traversed respectively, and the gray value of the pixel point with the maximum gray value is found and recorded, i.e. the maximum gray value of the low-frequency sub-region of this level. The determined maximum gray value is used to determine which gray values need to be included in the summation range when calculating the cumulative density function.

[0096] In step S302, for each level of low-frequency sub-region, the gray values in the low-frequency sub-region that do not exceed the maximum gray value are summed to obtain the cumulative density function.

[0097] After determining the maximum gray value of each level of low-frequency sub-region, the cumulative density function of each level of low-frequency sub-region is calculated.

[0098] Specifically, for each level of low-frequency sub-region, all pixel points in the low-frequency sub-region of this level are traversed, and it is judged whether the gray value of each pixel point exceeds the maximum gray value of the low-frequency sub-region. For the pixel points whose gray value does not exceed the maximum gray value of the low-frequency sub-region, the gray values are accumulated and summed. The accumulated summation result is the cumulative density function value of the low-frequency sub-region of this level, which reflects the cumulative probability or frequency of each gray value in the range from 0 to the maximum gray value in the low-frequency sub-region of this level.

[0099] For example, the calculated cumulative density function can be expressed as hist(i) is the gray histogram, i.e. the number of pixels with gray value i appearing in the low-frequency sub-region, m is the maximum gray value, and C(m) is the cumulative density function. By calculating the cumulative density function, the distribution of each gray value in each level of low-frequency sub-region can be obtained.

[0100] In summary, in the embodiment of the present application, the high-frequency detail pixel region and the low-frequency brightness pixel region of the input image are first segmented, the image level division of the low-frequency brightness pixel region is realized through the analysis of the gray value distribution of the high-frequency detail pixel region, and then the intelligent adjustment of the backlight brightness is performed on the input image according to the level division of the low-frequency brightness pixel region. Therefore, the backlight brightness is dynamically adjusted according to the actual brightness distribution of the input image, unnecessary peak current is avoided, and the power consumption of the Mini LED backlight is reduced under the premise of ensuring the image quality.

[0101] Based on the first embodiment of the present application, the same or similar contents as the above embodiment one can be referred to the above introduction, and will not be repeated hereinafter. On this basis, as shown in Figure 2 The step of adjusting the backlight according to the cumulative density function in step S30 can include steps S303-S304.

[0102] In step S303, the cumulative density function is symmetrically operated based on a preset linear function to obtain a dimming curve.

[0103] The cumulative density function is symmetrically operated based on a preset linear function to obtain a dimming curve, wherein the linear function can be set based on the actual application scenario, and the embodiment does not make specific limitation thereon. By symmetrically operating the cumulative density function with respect to the linear function, the dimming curve for adjusting the backlight is obtained.

[0104] In step S304, the backlight is dimmed according to the dimming curve.

[0105] After obtaining the dimming curve, the backlight brightness of the display device is adjusted according to the dimming curve. Specifically, each point of the dimming curve can be mapped into the control range of the backlight brightness, and then the backlight brightness is adjusted according to the mapping result. This adjustment process can be linear or nonlinear, depending on the shape of the dimming curve and the control requirements of the backlight brightness.

[0106] By adjusting the backlight brightness, the contrast, brightness and other visual effects of the display device when displaying the input image can be improved, so that the image is clearer.

[0107] In a feasible embodiment, step S304 can include steps S3041-S3043.

[0108] In step S3041, the gray scale values of each pixel in the input image after the backlight processing according to the dimming curve are determined.

[0109] According to the obtained dimming curve, backlight processing is performed on the input image, that is, the gray scale value of each pixel in the input image is adjusted to match the change of the dimming curve. After processing, each pixel in the processed image has a new gray scale value, which reflects the influence of backlight adjustment on the original gray scale value of each pixel in the input image.

[0110] In step S3042, a compensation coefficient is calculated according to a preset nonlinear curve equation.

[0111] After obtaining the pixel gray scale value after backlight processing, a compensation coefficient is calculated according to a preset nonlinear curve equation. The nonlinear curve equation can be any function of arbitrary shape determined based on the actual application scenario. Typically, a function that can reflect the characteristics of human visual perception is selected, such as a characteristic S-curve function.

[0112] The specific process of calculating the compensation coefficient can be to take the new gray scale value obtained after backlight processing as the input of the nonlinear curve equation and calculate the corresponding output value as the compensation coefficient.

[0113] In step S3043, each pixel gray scale value is multiplied by the compensation coefficient to obtain a new output luminance value, and backlight dimming is performed according to the new output luminance value.

[0114] The new gray scale value of each pixel after backlight processing is multiplied by the corresponding compensation coefficient to obtain a new output luminance value, which reflects the result of the joint action of backlight adjustment and compensation coefficient. After obtaining the new output luminance value, these values are applied to the backlight control system of the display device to achieve the effect of backlight dimming.

[0115] Exemplarily, in a feasible implementation, the nonlinear curve equation is wherein, L point is the inflection point, k is the curvature of the curve, Lx is the gray scale value of x% of the total number of pixels, Ly is the gray scale value of y% of the total number of pixels, and the compensation coefficient α is Lout / Lin. The gray scale values of the sub-pixels R, G, and B are multiplied by the compensation coefficient α to obtain the final output luminance value.

[0116] In summary, in the embodiment, first, the high-frequency detail pixel region and the low-frequency brightness pixel region of the input image are segmented, the image level division of the low-frequency brightness pixel region is realized by analyzing the gray value distribution of the high-frequency detail pixel region, the low-frequency brightness pixel region is divided according to the image division level, a plurality of low-frequency sub-regions of different levels are obtained, then, the gray value distribution of the input image is obtained by calculating the cumulative density function of each low-frequency sub-region of different levels, thereby avoiding the problems of brightness unevenness or excessive adjustment that may be caused in the subsequent backlight dimming process; then, the cumulative density function is symmetrically operated based on a preset linear function to generate a dimming curve, and the backlight is dimmed according to the dimming curve, thereby reducing the backlight brightness to reduce power consumption and without causing excessively high distortion rate, because the backlight brightness can be greatly reduced when the gray value distribution of the high-frequency sub-region is small, and the image contrast can be improved by slightly adjusting the backlight brightness in the region with large gray value distribution, thereby effectively reducing the backlight brightness power consumption. In addition, the compensation coefficient is calculated by using the preset nonlinear curve equation to compensate the backlight brightness, so that the adjusted brightness is more in line with the perception habit of human eyes, thereby reducing visual fatigue.

[0117] Therefore, in the embodiment, the image quality is improved by using a reasonable brightness adjustment strategy, and the power consumption of the display device is effectively reduced, thereby prolonging the service life of the device.

[0118] Exemplarily, in order to help understand the implementation process of the backlight dimming method obtained by combining the above-mentioned embodiments, please refer to Figure 3 , Figure 3 A brief flowchart of a backlight dimming method is provided, and specifically:

[0119] The input image is processed using a linear filter, the input image is segmented into an image high-frequency region (i.e., a high-frequency detail pixel region) and an image low-frequency region (i.e., a low-frequency brightness pixel region), then the image of the image high-frequency region is converted into a gray image and segmented to obtain a plurality of high-frequency sub-regions, then an iterative algorithm is used to determine the division threshold (i.e., the gray value threshold) of the high-frequency sub-regions, the high-frequency detail pixel region is divided according to the gray value threshold, and the image division level is determined, then the division threshold of the high-frequency region (or the image division level) is mapped to the low-frequency region to divide the low-frequency region; the maximum gray value of each low-frequency sub-region is found by traversing each low-frequency sub-region, then the cumulative gray histogram is made according to the maximum gray value to obtain a cumulative density function, the cumulative density function is symmetrically operated with respect to a linear function to obtain a dimming curve, the backlight of the display device is adjusted according to the dimming curve, and a compensation factor (i.e., a compensation coefficient) is determined based on an S curve (i.e., a preset nonlinear curve equation), finally, the RGB gray scale values of each pixel are multiplied by the compensation factor to obtain new output brightness values, and an output image of the display device is generated according to the output brightness values.

[0120] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the backlight dimming method of the present application, and more forms of simple transformation based on this technical concept are within the protection scope of the present application.

[0121] The present application embodiment further provides a backlight dimming device, please refer to Figure 4 The backlight dimming device comprises:

[0122] An image segmentation module 10 is configured to segment an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region;

[0123] An image division module 20 is configured to determine an image division level according to a gray value distribution of the high-frequency detail pixel region, and divide the low-frequency brightness pixel region according to the image division level to obtain a plurality of low-frequency sub-regions of different levels;

[0124] A backlight dimming module 30 is configured to calculate a cumulative density function of each level of low-frequency sub-region, and perform backlight dimming according to the cumulative density function.

[0125] Optionally, the image division module 20 is further configured to:

[0126] perform gray processing on the high-frequency detail pixel region, and divide the high-frequency detail pixel region after the gray processing into a plurality of high-frequency sub-regions;

[0127] obtain a gray value distribution of each high-frequency sub-region, and calculate a gray value threshold of each high-frequency sub-region according to the gray value distribution;

[0128] perform image division on the high-frequency detail pixel region according to the gray value threshold, and determine an image division level.

[0129] Optionally, the image division module 20 is further configured to:

[0130] obtain a gray value distribution of each high-frequency sub-region, and calculate a sum of pixel gray values of each high-frequency sub-region according to the gray value distribution;

[0131] obtain a total number of pixels of each high-frequency sub-region;

[0132] calculate an initial gray value threshold according to the sum of pixel gray values and the total number of pixels of each high-frequency sub-region;

[0133] determine the gray value threshold of each high-frequency sub-region based on the initial gray value threshold by using an iterative algorithm.

[0134] Optionally, the backlight dimming module 30 is further configured to:

[0135] determine a maximum gray value of each level of low-frequency sub-region;

[0136] For each low-frequency sub-region, the gray values in the low-frequency sub-region that do not exceed the maximum gray value are summed to obtain a cumulative density function.

[0137] Optionally, the backlight dimming module 30 is further configured to:

[0138] symmetrically operate the cumulative density function based on the preset linear function to obtain a dimming curve;

[0139] dim the backlight according to the dimming curve.

[0140] Optionally, the backlight dimming module 30 is further configured to:

[0141] determine the gray scale values of each pixel in the input image after the backlight processing according to the dimming curve;

[0142] calculate a compensation coefficient according to a preset nonlinear curve equation;

[0143] multiply the gray scale values of each pixel by the compensation coefficient to obtain new output brightness values, and dim the backlight according to the new output brightness values.

[0144] Optionally, the image segmentation module 10 is further configured to:

[0145] input the input image into a preset linear filter for processing;

[0146] separate the high-frequency information and the low-frequency information of the input image through the linear filter to obtain a high-frequency detail pixel region and a low-frequency brightness pixel region.

[0147] The backlight dimming device provided by the embodiment of the present application adopts the backlight dimming method in the above embodiment, which can reduce the power consumption of the Mini LED backlight while ensuring that the image quality is not affected. Compared with the prior art, the backlight dimming device provided by the embodiment of the present application has the same beneficial effects as the backlight dimming method provided by the above embodiment, and the other technical features of the backlight dimming device are the same as the features disclosed in the backlight dimming method of the above embodiment, which will not be repeated here.

[0148] The embodiment of the present application provides a display device, which comprises at least one processor and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the backlight dimming method in the above embodiment one.

[0149] The following refers to Figure 5This diagram illustrates a structural schematic suitable for implementing the embodiments of this application. The display device in the embodiments of this application may include a mobile terminal and a fixed terminal of an MCU. Figure 5 The display device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0150] like Figure 5 As shown, the display device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the display device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the display device to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show display devices with various systems, it should be understood that implementing or having all of the systems shown is not required. More or fewer systems may be implemented alternatively.

[0151] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0152] The display device provided by the embodiments of the present application adopts the backlight dimming method in the above embodiments, and can reduce the power consumption of the Mini LED backlight under the premise of ensuring that the picture quality is not affected. Compared with the prior art, the display device provided by the embodiments of the present application has the same beneficial effects as the backlight dimming method provided by the above embodiments, and other technical features in the display device are the same as the features disclosed in the backlight dimming method of the previous embodiment, which will not be repeated here.

[0153] It should be understood that the parts disclosed in the embodiments of the present application can be realized by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0154] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0155] The embodiments of the present application provide a computer readable storage medium having computer readable program instructions (i.e. computer programs) stored thereon, the computer readable program instructions being used to execute the backlight dimming method in the above embodiments.

[0156] The computer readable storage medium provided by the embodiments of the present application may, for example, be a U disk, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system or device, or any combination thereof. More specific examples of the computer readable storage medium can include, but are not limited to: an electrical connection with one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the embodiments, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to: an electrical wire, an optical cable, an RF (Radio Frequency: Radio Frequency), etc., or any suitable combination thereof.

[0157] The computer readable storage medium can be included in the display device, or can exist separately from the display device.

[0158] The computer readable storage medium carries one or more programs, which, when executed by the display device, cause the display device to: divide the input image into a high-frequency detail pixel region and a low-frequency luminance pixel region; determine an image division level according to a gray value distribution of the high-frequency detail pixel region, and perform image division on the low-frequency luminance pixel region according to the image division level to obtain a plurality of low-frequency sub-regions of different levels; and calculate a cumulative density function of each level of the low-frequency sub-regions, and perform backlight dimming according to the cumulative density function.

[0159] Computer program code for carrying out operations of embodiments of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0160] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0161] The modules described in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0162] The readable storage medium provided by the embodiments of the present application is a computer readable storage medium, which stores computer readable program instructions (i.e., a computer program) for executing the backlight dimming method described above, and can reduce the power consumption of the Mini LED backlight under the premise of ensuring that the picture quality is not affected. Compared with the prior art, the computer readable storage medium provided by the embodiments of the present application has the same beneficial effects as the backlight dimming method provided by the above embodiments, and will not be described here.

[0163] The present application also provides a computer program product comprising a computer program, which, when executed by a processor, implements the steps of the backlight dimming method as described above.

[0164] The computer program product provided by the present application can reduce the power consumption of the Mini LED backlight under the premise of ensuring that the picture quality is not affected. Compared with the prior art, the computer program product provided by the present application has the same beneficial effects as the backlight dimming method provided by the above embodiments, and will not be described here.

[0165] The above is only some embodiments of the present application, and does not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the present application specification and drawings, or direct / indirect application in other related technical fields is included in the patent protection scope of the present application.

Claims

1. A backlight dimming method, characterized in that, The backlight dimming method comprises: segmenting an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region; determining an image division level according to a grayscale value distribution of the high-frequency detail pixel region, and performing image division on the low-frequency brightness pixel region according to the image division level to obtain a plurality of low-frequency sub-regions of different levels; calculating a cumulative density function of each level of low-frequency sub-region, and performing backlight dimming according to the cumulative density function; the step of determining the image division level according to the grayscale value distribution of the high-frequency detail pixel region comprises: performing grayscale processing on the high-frequency detail pixel region, and dividing the high-frequency detail pixel region after grayscale processing into a plurality of high-frequency sub-regions; obtaining the grayscale value distribution of each high-frequency sub-region, and calculating the grayscale value threshold of each high-frequency sub-region according to the grayscale value distribution; performing image division on the high-frequency detail pixel region according to the grayscale value threshold, and determining the image division level; the step of obtaining the grayscale value distribution of each high-frequency sub-region, and calculating the grayscale value threshold of each high-frequency sub-region according to the grayscale value distribution comprises: obtaining the grayscale value distribution of each high-frequency sub-region, and calculating the sum of pixel grayscale values of each high-frequency sub-region according to the grayscale value distribution; obtaining the total number of pixels of each high-frequency sub-region; calculating an initial grayscale value threshold according to the sum of pixel grayscale values of each high-frequency sub-region and the total number of pixels; determining the grayscale value threshold of each high-frequency sub-region based on the initial grayscale value threshold by using an iterative algorithm.

2. The backlight dimming method according to claim 1, wherein the step of calculating the cumulative density function of each level of low-frequency sub-region comprises: determining the maximum grayscale value of each level of low-frequency sub-region; for each level of low-frequency sub-region, summing the grayscale values in the low-frequency sub-region that do not exceed the maximum grayscale value to obtain the cumulative density function.

3. The backlight dimming method according to claim 1, wherein, the step of performing backlight dimming according to the cumulative density function comprises: performing symmetric operation on the cumulative density function based on a preset linear function to obtain a dimming curve; performing backlight dimming according to the dimming curve.

4. The backlight dimming method according to claim 3, wherein the step of performing backlight dimming according to the dimming curve comprises: determining the grayscale value of each pixel in the input image after backlight processing according to the dimming curve; calculating a compensation coefficient according to a preset nonlinear curve equation; multiplying each pixel grayscale value by the compensation coefficient to obtain a new output brightness value, and performing backlight dimming according to the new output brightness value.

5. The backlight dimming method according to claim 1, wherein, the step of segmenting an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region comprises: inputting the input image into a preset linear filter for processing; separating the high-frequency information and low-frequency information of the input image through the linear filter to obtain the high-frequency detail pixel region and the low-frequency brightness pixel region.

6. A backlight dimming apparatus, characterized by comprising: the backlight dimming device comprises: an image segmentation module for segmenting an input image into a high-frequency detail pixel region and a low-frequency brightness pixel region; The image division module is configured to determine an image division level according to the gray value distribution of the high-frequency detail pixel region, and divide the low-frequency luminance pixel region according to the image division level to obtain a plurality of low-frequency sub-regions of different levels. The backlight dimming module is configured to calculate a cumulative density function of each low-frequency sub-region of each level, and perform backlight dimming according to the cumulative density function. The image division module is further configured to: perform gray value processing on the high-frequency detail pixel region, and divide the high-frequency detail pixel region after the gray value processing into a plurality of high-frequency sub-regions; obtain the gray value distribution of each high-frequency sub-region, and calculate a gray value threshold of each high-frequency sub-region according to the gray value distribution; perform image division on the high-frequency detail pixel region according to the gray value threshold, and determine an image division level; The image division module is further configured to: obtain the gray value distribution of each high-frequency sub-region, and calculate the sum of pixel gray values of each high-frequency sub-region according to the gray value distribution; obtain the total number of pixels of each high-frequency sub-region; calculate an initial gray value threshold according to the sum of pixel gray values of each high-frequency sub-region and the total number of pixels; determine the gray value threshold of each high-frequency sub-region based on the initial gray value threshold by using an iterative algorithm.

7. A display device, characterized by The display device comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the backlight dimming method according to any one of claims 1 to 5.

8. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the backlight dimming method according to any one of claims 1 to 5.

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