WO2022032919A1 - Grayscale-adaptive correction data control method and apparatus, and led display screen - Google Patents

Abstract

A grayscale-adaptive correction data control method and apparatus, and an LED display screen. The method comprises: acquiring a frame of picture data to be displayed, and extracting a source grayscale value of each pixel point from same (S100); determining, according to division of grayscale intervals, a grayscale interval to which the source grayscale value of the pixel point belongs (S200); when it is determined that the source grayscale value of the pixel point belongs to a preset low-grayscale interval, correcting the pixel point by using low-grayscale correction data (S300); and when it is determined that the source grayscale value of the pixel point belongs to a preset high-grayscale interval, correcting the pixel point by using high-grayscale correction data (S400). Low-grayscale correction data having a relatively small difference is used in a low-grayscale interval, such that the consistency of correction data of pixel points displayed in a low grayscale can be ensured, the problem of spots does not occur, and thus the display quality can be effectively improved.

Description

An adaptive grayscale correction data control method, device and LED display screen

This application claims the priority of the Chinese Patent Application No. 202010812867.2 filed with the Chinese Patent Office on August 13, 2020, the entire contents of which are incorporated herein by reference.

technical field

The invention relates to the field of LED display screen control, in particular to an adaptive grayscale correction data control method, device and LED display screen.

Background technique

Affected by the manufacturing process and materials of LED chips, the luminous characteristics of LED chips have a certain discreteness. Coupled with the differences brought about by the LED display manufacturing process, the LED display before leaving the factory has certain display unevenness and needs to be corrected.

At present, the LED display industry generally uses point-by-point correction technology to improve the uniformity of brightness and color, so that the color of the display screen is consistent, and the natural color is more realistically restored. The combination of RGB lights inside each pixel can be regarded as a color gamut space. Chroma correction is to use a conversion coefficient matrix (that is, correction data) to convert the tristimulus value matrix of the original color gamut space of each pixel into the tristimulus value matrix of the target color gamut, from all pixels on the display screen. The color gamut space is corrected to the same color gamut space.

Because the original color gamut space of each pixel has a certain difference, the correction data corresponding to the pixel is also different. As a result, when the LED display screen displays a pure-color picture (ie, the same grayscale), the brightness of each pixel may be different due to the different influences of the correction data of each pixel. This is especially sensitive to human eyes when displaying low gray images.

At the same time, when a low-gray picture is displayed, if the value in the calibration data of a certain pixel is very small, it may cause the LED light of the pixel to fail to start after calibration. As a result, the low-gray picture may become a pit pattern - some LED lights are on, and some LED lights are off, which seriously affects the display effect of the low-gray picture.

In order to solve this problem, in the prior art, there are mainly two solutions: 1. Modify the calibration data to reduce the difference between the calibration data, but sacrifice the consistency of the calibration results and reduce the display effect; 2. Modify the gamma table , skip low gray areas. Existing solutions all lead to a decrease in display effect to varying degrees.

Therefore, there is an urgent need for a solution that can improve the display effect after low grayscale correction, and can maintain chromaticity consistency and uniformity at the same time.

technical problem

Based on this, it is necessary to provide an adaptive grayscale correction data control method, device and method for the current LED display correction scheme, which has the problems of poor display effect such as brightness difference and pockmark pattern in low gray screen display. LED display.

technical solutions

An embodiment of the present application provides an adaptive grayscale correction data control method, which is suitable for display control of an LED display screen, including:

Obtain a frame of picture data to be displayed, and extract the source gray value of each pixel from it;

According to the division of the grayscale interval, determine the grayscale interval to which the source grayscale value of the pixel belongs;

When it is determined that the source gray value of the pixel belongs to the preset low gray range, the pixel is corrected by using the low gray correction data;

When it is determined that the source grayscale value of a pixel belongs to a preset high grayscale interval, the pixel is corrected using the high grayscale correction data.

In some embodiments, the low grayscale correction data is the correction data used when all the pixels of the LED display screen have grayscale values within a preset low grayscale interval.

In some embodiments, the low grayscale correction data is determined according to the correction data of all pixels of the LED display screen.

In some embodiments, the entire grayscale value range is divided into a preset low grayscale interval, a transition interval, and a preset high grayscale interval; the adaptive grayscale correction data control method further includes:

When it is determined that the source grayscale value of a pixel belongs to the transition interval, the pixel uses transitional correction data, and the transitional correction data is determined according to the low grayscale correction data and the high grayscale correction data.

In some embodiments, the transition correction data is determined by using a linear fitting algorithm or a nonlinear fitting algorithm according to the low grayscale correction data and the high grayscale correction data.

An embodiment of the present application also discloses an adaptive grayscale correction data control device, which is suitable for display control of an LED display screen, including:

a grayscale source value determination unit, used for acquiring a frame of picture data to be displayed, and extracting the source grayscale value of each pixel from it;

The grayscale interval determination unit is used to determine the grayscale interval to which the source grayscale value of the pixel belongs according to the division of the grayscale interval;

A correction data determination unit, used for judging that the source gray value of the pixel belongs to the preset low gray range, the pixel is corrected using the low gray correction data; when it is determined that the source gray value of the pixel belongs to the preset high gray In the grayscale interval, the pixel is corrected using high grayscale correction data.

In some embodiments, the low grayscale correction data is the correction data used when all the pixels of the LED display screen have grayscale values within a preset low grayscale interval.

In some embodiments, the preset low grayscale interval is subdivided into several low grayscale subintervals, and each low grayscale subinterval can be correspondingly set with independent low grayscale correction data.

Another embodiment of the present application also discloses an LED display screen, which includes several LED display units and a receiving card, the plurality of LED display units are spliced to form a display screen body, and one receiving card is set corresponding to at least one LED display unit; Controlling the corresponding LED display unit to display the screen according to the input screen data; the receiving card includes a processor and a memory;

The memory stores high grayscale correction data, low grayscale correction data, and a computer program, which, when executed by the processor, implements the adaptive grayscale correction data control method described in any of the foregoing embodiments .

Another embodiment of the present application further discloses a machine-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the adaptive grayscale correction described in any of the foregoing embodiments Data control method.

In the self-adaptive grayscale correction data control scheme provided by the embodiment of the present application, a low grayscale interval is divided in advance. Grayscale correction data. In this way, the consistency of the calibration data of the low-gray pixels can be ensured. The LED lights of all low-gray pixels are either on or off, and there will be no numbness that some LED lights are on and some LED lights are off. The problem is that while ensuring the display of the screen, the display effect can be improved.

Description of drawings

FIG. 1 is a schematic flowchart of a method for controlling adaptive grayscale correction data according to an embodiment of the present application;

FIG. 2 is a schematic flowchart of a method for controlling correction data for adaptive grayscale according to another embodiment of the present application;

FIG. 3 is a schematic diagram of division of grayscale intervals in an embodiment of the present application;

FIG. 4 is a schematic diagram of division of grayscale intervals in another embodiment of the present application;

FIG. 5 is a schematic diagram of a framework structure of an apparatus for controlling adaptive grayscale correction data according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a frame structure of an LED display screen according to an embodiment of the application.

Embodiments of the present invention

In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features of the embodiments may be combined with each other unless there is conflict.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention.

As shown in FIG. 1, an embodiment of the present application discloses an adaptive grayscale correction data control method, which is suitable for display control of an LED display screen, including:

S100, acquiring a frame of picture data to be displayed, and extracting the source gray value of each pixel from the data;

S200, according to the division of the grayscale interval, determine the grayscale interval to which the source grayscale value of the pixel belongs;

S300, when it is determined that the source grayscale value of the pixel belongs to the preset low grayscale interval, the pixel is corrected using the low grayscale correction data;

S400, when it is determined that the source grayscale value of the pixel belongs to the preset high grayscale interval, the pixel is corrected using the high grayscale correction data.

When the LED display is installed, it will generally perform point-by-point correction of the entire screen, and the correction data obtained at this time is the original correction data. For each pixel point in the LED display screen, there is a corresponding correction data, that is, the conversion coefficient matrix. For the convenience of description, when referring to the correction data of a pixel point below, it generally refers to the conversion coefficient matrix corresponding to the pixel point.

For a pixel, its correction data F _cov is generally represented by a matrix, as shown below.

Among them, RR is the brightness coefficient of the red LED light when the display source signal is red; RG is the brightness coefficient of the green LED light when the display source signal is red; RB is the brightness coefficient of the blue LED light when the display source signal is red ; GR is the brightness coefficient of the red LED light when the display source signal is green; GG is the brightness coefficient of the green LED light when the display source signal is green; GB is the brightness coefficient of the blue LED light when the display source signal is green; BR is the brightness coefficient of the red LED when the source signal is blue; BG is the brightness coefficient of the green LED when the source signal is blue; BB is the brightness of the blue LED when the source signal is blue coefficient.

Generally, when the pixel is working, it is necessary to extract the source grayscale (R, G, B) corresponding to the pixel from the acquired picture data; then, according to the correction data F _cov , calculate the target actually displayed after correction Grayscale (R',G',B'). Finally, the pixel works according to the target gray level (R', G', B').

Among them, R is the grayscale of the red LED light of the pixel in the picture data; G is the grayscale of the green LED light of the pixel in the picture data; B is the blue LED light of the pixel in the picture data R' is the red LED light of the pixel, the grayscale actually displayed after correction; G' is the red LED light of the pixel, the grayscale actually displayed after correction; B' is the pixel The red LED light, the grayscale actually displayed after correction.

In this solution, when calibrating the LED display screen, at least two grayscale values of low grayscale and high grayscale are corrected. In this way, the original correction data includes at least low grayscale correction data and high grayscale Correction data.

For example, when the entire grayscale range is 0 to 255, the grayscale value of the corrected image may be lower than 55 during low grayscale correction; the grayscale value of the corrected image may be 255 during high grayscale correction. It can be understood that the gray value during low grayscale correction and the grayscale value during high grayscale correction may also be other grayscale values.

In the solution of the embodiment of the present application, in step S100, the source gray value Gray of each pixel is extracted from the picture data to be displayed. For example, the source grayscale (R, G, B) of each component of the pixel can be extracted from the picture data to be displayed, and then the source grayscale (R, G, B) of each component can be used to calculate Get the source gray value Gray of the pixel.

To determine the source gray value Gray of a pixel, an existing grayscale processing scheme can be used, such as:

Floating point arithmetic: Gray=R*0.3+G*0.59+B*0.11

Integer method: Gray=(R*30+G*59+B*11)/100

Shift method: Gray=(R*28+G*151+B*77)>>8

Average method: Gray=(R+G+B)/3

The specific scheme for determining the source gray value Gray of the pixel point according to each component can be selected according to actual needs, and no specific limitation is made here. It can be understood that, in addition to the above-mentioned exemplary algorithms, other algorithms can also be used, as long as the gray value of the pixel point can be reasonably determined.

The entire range of grayscale values may be divided into a plurality of grayscale intervals in advance. Illustratively, as shown in FIG. 3 , it can be divided into two grayscale intervals—a preset low grayscale interval and a non-low grayscale interval. Assuming that the range of the entire grayscale value is 0 to 255, a low grayscale upper limit value can be preset, and the interval lower than the low grayscale upper limit value is the preset low grayscale interval; The interval of the low grayscale upper limit value is the non-low grayscale interval, and the non-low grayscale interval may be regarded as a preset high grayscale interval. In FIG. 2 , the upper limit value of low grayscale is set to 40, 0 to 40 are preset low grayscale intervals, and 40 to 255 are non-low grayscale intervals (also referred to as preset high grayscale intervals).

When the source grayscale value of a pixel falls within a preset high grayscale range, the pixel can be corrected and displayed using the high grayscale correction data.

When the source grayscale value of a pixel falls within the preset low grayscale interval, the pixel is corrected using the low grayscale correction data with less difference.

Exemplarily, the low-gray correction data may be correction data obtained by using a low-gray correction picture during calibration. When the entire grayscale range is 0 to 255, the low grayscale correction picture may be a correction picture with a grayscale value lower than 50. The low-gradation correction data thus obtained have relatively small differences between them.

In some embodiments, in order to simplify the low grayscale correction operation and reduce the amount of data storage, the low grayscale correction data can also be a unified, preset correction data - when the source of the pixels on the LED display screen When the grayscale value falls within the preset low grayscale interval, the unified low grayscale correction data is used.

In extreme cases, if the source gray values of all pixels on the LED display fall into the preset low gray range, then all pixels are corrected using uniform low gray correction data, that is, all pixels Points are calibrated using the same calibration data.

In the self-adaptive grayscale correction data control scheme provided by the embodiment of the present application, a low grayscale interval is divided in advance, and when it is determined that the source grayscale value of a pixel falls within the preset low grayscale interval, a low grayscale value with a smaller difference is used. degree correction data. In this way, the consistency of the calibration data of the low-gray pixels can be ensured. The LED lights of all low-gray pixels are either on or off, and there will be no numbness that some LED lights are on and some LED lights are off. The problem is that while ensuring the display of the screen, the display effect can be improved.

In some embodiments, the low-gray correction data can be set as an identity matrix, as shown below.

At this time, the target grayscale after pixel point correction is equal to the source grayscale. As a result, in the low gray display, the LED lights that originally meet the ignition value can still continue to light up, and there will be no problem that the display signal is smaller than the ignition value and the LED lights cannot be extinguished due to calibration, which can effectively reduce the problem caused by calibration. LED lights show the number of unlit lights in low gray.

In some embodiments, the low grayscale correction data can be determined according to the correction data of all pixels of the LED display screen. For example, the average value of the correction data of all the pixels of the LED display screen can be used as the low grayscale correction data. For example, the correction data of the maximum value among the correction data of all pixel points of the LED display screen may also be selected as the low grayscale correction data. It can be understood that other statistical methods can also be used to determine the low grayscale correction data according to the correction data of all pixel points of the LED display screen.

In some embodiments, as shown in FIG. 4 , the entire gray value range can be divided into three sections, a preset low gray level interval, a transition interval and a preset high gray level interval; the adaptive gray scale correction data The control method, as shown in Figure 2, also includes:

S500, when it is determined that the source gray value of the pixel belongs to the transition interval, the pixel uses transition correction data, and the transition correction data is determined according to the low gray level correction data and the high gray level correction data.

During display work, the source gray value of a pixel is always changing, and there is often a sudden change from a low gray value to a high gray value. In the sudden change of gray value, if the correction data used before and after also has a large change, there may be a sudden change of brightness, which affects the display effect.

Therefore, three grayscale intervals can be set, and a transition interval is added between the preset low grayscale interval and the preset high grayscale interval. When the gray value of the pixel belongs to the transition interval, the pixel uses the transition correction data.

The transition correction data can be obtained by fitting the low grayscale correction data and the high grayscale correction data. The transition interval includes a start point and an end point, the start point is the gray value of the transition interval adjacent to the preset low gray scale interval, and the end point is the gray value of the transition interval adjacent to the preset high gray scale interval. At the start position, low-gradation correction data can be used; at the end position, high-gradation correction data can be used. The correction data for the transition used between the start point and the end point can be obtained by fitting the low grayscale correction data and the high grayscale correction data. Therefore, the correction data used in the transition interval can be smoothly transitioned, avoiding drastic changes of the correction data, and ensuring the display effect.

Exemplarily, the transition correction data can be calculated by a linear fitting algorithm according to the low grayscale correction data and the high grayscale correction data.

Exemplarily, a nonlinear fitting algorithm may also be used to calculate the transition correction data according to the low grayscale correction data and the high grayscale correction data. The nonlinear fitting algorithm can be a common nonlinear data fitting algorithm, such as exponential function, power function, trigonometric function, hyperbolic function, logarithmic function, logistic model, etc.

In some embodiments, the preset low grayscale interval may also be subdivided into several low grayscale subintervals, and each low grayscale subinterval may be correspondingly set with independent low grayscale correction data. In this way, the correction compensation in the low grayscale interval can be made more fine-grained.

It can be understood that the values of the main coefficients RR, GG, and BB of the correction data F _cov corresponding to the low-gray sub-intervals with lower gray-scale values can be set to be larger. In this way, the larger the value of the correction coefficient in the sub-interval with low gray value, the target gray scale after the correction calculation will also increase accordingly, which can effectively ensure that the LED light of the pixel point with the lower gray value can also be lit. , to ensure the normal display of the low gray range.

It can be understood that the transition interval can also be further subdivided into several transition sub-intervals, and each transition sub-interval is determined according to the low grayscale correction data and/or the high grayscale correction data.

It should be noted that, for the sake of simple description, the method embodiments are expressed as a series of action combinations, but those skilled in the art should know that the embodiments of the present application are not limited by the described action sequence, because According to the embodiments of the present application, certain steps may be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.

As shown in FIG. 5 , an embodiment of the present application discloses an adaptive grayscale correction data control device, which is suitable for display control of an LED display screen, including:

The grayscale source value determination unit 100 is used for acquiring a frame of picture data to be displayed, and extracting the source grayscale value of each pixel therefrom;

The grayscale interval determination unit 200 is configured to determine the grayscale interval to which the source grayscale value of the pixel belongs according to the division of the grayscale interval;

The correction data determination unit 300 is used to correct the pixel point using the low grayscale correction data when it is determined that the source grayscale value of the pixel belongs to the preset low grayscale interval; when it is determined that the source grayscale value of the pixel belongs to the preset low grayscale interval In the high grayscale interval, the pixel is corrected using the high grayscale correction data.

In some embodiments, the low grayscale correction data is the correction data used when all the pixels of the LED display screen have grayscale values within a preset low grayscale interval.

Illustratively, the low-gray correction data can be set as an identity matrix.

For example, the low grayscale correction data can be determined according to the correction data of all pixels of the LED display screen. For example, the average value of the correction data of all the pixels of the LED display screen can be used as the low grayscale correction data. For example, the correction data of the maximum value among the correction data of all pixel points of the LED display screen may also be selected as the low grayscale correction data. It can be understood that other statistical methods can also be used to determine the low grayscale correction data according to the correction data of all pixel points of the LED display screen.

For the specific working modes of the grayscale source value determination unit 100 , the grayscale interval determination unit 200 and the correction data determination unit 300 , reference may be made to the descriptions in the foregoing method embodiments, which will not be repeated here.

In some embodiments, the entire grayscale value range is divided into three sections, a preset low grayscale interval, a transition interval, and a preset high grayscale interval; the correction data determination unit 300 is further configured to determine the source of a pixel point When the grayscale value belongs to the transition interval, the pixel point uses transitional correction data, and the transitional correction data is determined according to the low grayscale correction data and the high grayscale correction data.

The transition correction data can be obtained by fitting the low grayscale correction data and the high grayscale correction data, such as linear fitting and nonlinear fitting.

In some embodiments, the preset low grayscale interval may also be subdivided into several low grayscale subintervals, and each low grayscale subinterval may be correspondingly set with independent low grayscale correction data. In this way, the correction compensation in the low grayscale interval can be made more fine-grained.

In the solution for self-adaptive grayscale correction data control provided by the embodiments of the present application, a low grayscale interval is divided in advance. Low-gray correction data. In this way, the consistency of the calibration data of the low-gray pixels can be ensured. The LED lights of all low-gray pixels are either on or off, and there will be no numbness that some LED lights are on and some LED lights are off. The problem is that while ensuring the display of the screen, the display effect can be improved.

An embodiment of the present application also provides an LED display screen. As shown in FIG. 6 , it includes several LED display units 900 and a receiving card 10 . The plurality of LED display units 900 are spliced together to form a display screen body, and one receiving card 10 corresponds to at least one The LED display unit 900 is set to receive the screen data input by the card 10, and control the corresponding LED display unit 900 to display the screen;

The receiving card 10 includes a processor and a memory; the memory stores high grayscale correction data, low grayscale correction data, and a computer program, and the computer program, when executed by the processor, realizes the automatic operation described in any of the above-mentioned embodiments. Correction data control method adapted to grayscale.

An embodiment of the present application provides a machine-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the correction data control method for adaptive grayscale described in any of the foregoing embodiments.

The integrated components/modules/units of the system/computer device, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) ), random access memory (RAM, Random Access Memory), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable media Electric carrier signals and telecommunication signals are not included.

In the several specific embodiments provided by the present invention, it should be understood that the disclosed system and method may be implemented in other manners. For example, the system implementations described above are only illustrative. For example, the division of the components is only a logical function division, and there may be other division manners in actual implementation.

In addition, each functional module/component in each embodiment of the present invention may be integrated in the same processing module/component, or each module/component may exist physically alone, or two or more modules/components may be integrated in the same processing module/component. in the module/component. The above-mentioned integrated modules/components may be implemented in the form of hardware, or may be implemented in the form of hardware plus software function modules/components.

For those skilled in the art, it is obvious that the embodiments of the present invention are not limited to the details of the above-mentioned exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential features of the embodiments of the present invention example. Accordingly, the embodiments are to be considered in all respects as exemplary and not restrictive, the scope of the embodiments of the present invention being defined by the appended claims rather than the foregoing description, and are therefore intended to fall within the scope of All changes within the meaning and scope of equivalents of the claims are included in the embodiments of the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim. Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Multiple units, modules or means recited in the system, device or terminal claims can also be implemented by the same unit, module or means by software or hardware. The terms first, second, etc. are used to denote names and do not denote any particular order.

The above-mentioned embodiments only represent several embodiments of the present invention, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can also be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the appended claims.

Claims (10)

An adaptive grayscale correction data control method, suitable for display control of an LED display screen, is characterized in that, comprising: Obtain a frame of picture data to be displayed, and extract the source gray value of each pixel from it; According to the division of the grayscale interval, determine the grayscale interval to which the source grayscale value of the pixel belongs; When it is determined that the source gray value of the pixel belongs to the preset low gray range, the pixel is corrected by using the low gray correction data; When it is determined that the source grayscale value of a pixel belongs to a preset high grayscale interval, the pixel is corrected using the high grayscale correction data. The method for controlling adaptive grayscale correction data according to claim 1, wherein the low grayscale correction data is the average grayscale value of all pixels of the LED display screen in a preset low grayscale interval. Correction data used. The correction data control method for adaptive grayscale according to claim 2, wherein the low grayscale correction data is determined according to the correction data of all pixels of the LED display screen. The correction data control method for adaptive grayscale according to claim 1, wherein the entire grayscale value range is divided into a preset low grayscale interval, a transition interval and a preset high grayscale interval; The grayscale correction data control method also includes: When it is determined that the source grayscale value of a pixel belongs to the transition interval, the pixel uses transitional correction data, and the transitional correction data is determined according to the low grayscale correction data and the high grayscale correction data. The method for controlling adaptive grayscale correction data according to claim 4, wherein the transitional correction data adopts a linear fitting algorithm or a nonlinear fitting algorithm according to the low grayscale correction data and the high grayscale correction data. Algorithm to determine. An adaptive grayscale correction data control device, suitable for display control of an LED display screen, is characterized in that, comprising: a grayscale source value determination unit, used for acquiring a frame of picture data to be displayed, and extracting the source grayscale value of each pixel from it; The grayscale interval determination unit is used to determine the grayscale interval to which the source grayscale value of the pixel belongs according to the division of the grayscale interval; A correction data determination unit, used for judging that the source gray value of the pixel belongs to the preset low gray range, the pixel is corrected using the low gray correction data; when it is determined that the source gray value of the pixel belongs to the preset high gray In the grayscale interval, the pixel is corrected using high grayscale correction data. The self-adaptive grayscale correction data control device according to claim 6, wherein the low grayscale correction data is the average grayscale value of all pixels of the LED display screen in the preset low grayscale interval. Correction data used. The correction data control device for adaptive grayscale according to claim 6, wherein the preset low grayscale interval is subdivided into several low grayscale subintervals, and each low grayscale subinterval can be set correspondingly Separate low-gray correction data. An LED display screen comprises a plurality of LED display units and a receiving card, a plurality of LED display units are spliced to form a display screen body, one receiving card is set corresponding to at least one LED display unit; the receiving card is used for inputting picture data to control corresponding The LED display unit performs screen display; the receiving card includes a processor and a memory; it is characterized in that: High grayscale correction data, low grayscale correction data and a computer program are stored on the memory, and the computer program realizes the self-adaptive grayscale correction data according to any one of claims 1-5 when executed by the processor. Control Method. A machine-readable storage medium, characterized in that a computer program is stored thereon, and the computer program, when executed by a processor, implements the correction data control method for adaptive grayscale according to any one of claims 1-5 .

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