Micro LED display device and compensation enhancement display method

By collecting and processing brightness and chrominance data in the Micro LED display device, generating a compensation matrix to achieve brightness and chrominance uniformity compensation, the problem of uneven brightness and chrominance in Micro LED display technology is solved, and the display effect is improved.

CN119296470APending Publication Date: 2025-01-10SOUTH CHINA UNIV OF TECH +1
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Patent Information

Application Number
CN202411697660.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

Micro LED display technology has problems of uneven brightness and uneven chromaticity, especially in low grayscale display, which limits its application and promotion.

Method used

By introducing a brightness detection device and a chrominance detection device into the Micro LED display device, the grayscale data and chrominance coordinate values ​​of each pixel point are collected, and the brightness uniformity compensation relationship and chrominance compensation matrix are generated using the acquisition and calculation platform to achieve brightness Compensation of uniformity of chromaticity, use CS2000 or chromaticity camera to capture standard light sources and images, calculate the compensation matrix and display the compensated image. If a certain uniformity standard is reached, it will end, otherwise it will be adjusted back.

Benefits of technology

It effectively improves the brightness uniformity and chromaticity uniformity of Micro LED display images, solves the problem of uneven brightness and chromaticity, and improves the display effect.

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Abstract

The invention discloses a Micro LED display device and a compensation enhancement display method. The display device comprises a brightness detection device, a chromaticity detection device, an acquisition and calculation platform and a Micro LED display screen. The compensation enhancement display method of the Micro LED display device comprises a brightness compensation enhancement display method and a chromaticity compensation enhancement display method, and the chromaticity compensation enhancement method comprises the steps of obtaining a standard light source chromaticity curve, collecting image information of a Micro LED display screen, generating a chromaticity compensation matrix, compensating an image and the like. According to the Micro LED display device and the compensation enhancement display method provided by the invention, the brightness uniformity and the chromaticity uniformity of a Micro LED display image can be improved, and the problems of non-uniform brightness and non-uniform chromaticity existing in Micro LED display at present are solved.
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Description

Technical Field

[0001] The present invention relates to the field of Micro LED display technology, and in particular to a Micro LED display device and a compensation enhancement display method. Background Art

[0002] Micro LED, also known as micro light-emitting diode, refers to a high-density integrated LED array with advantages such as high resolution, low power consumption, high brightness, high contrast, high color saturation, fast response speed, and long life. However, the current Micro LED display technology is not yet fully mature, and there are problems of uneven brightness and uneven color, which are particularly serious in low grayscale display, thus limiting its application and promotion. Summary of the invention

[0003] The purpose of the present invention is to provide a Micro LED display device and a compensation and enhancement display method to solve the problems of uneven brightness and uneven chromaticity currently existing in Micro LED displays, so as to overcome the shortcomings of the prior art.

[0004] The present invention provides a Micro LED display device through the following technical scheme, characterized in that it includes a brightness detection device, a chromaticity detection device, an acquisition and calculation platform and a Micro LED display screen; the brightness detection device is used to collect grayscale data of each pixel point of the display screen; the chromaticity detection device is used to collect the chromaticity coordinate value and color coordinate of each pixel point or a small range of pixel points of the display screen; the acquisition and calculation platform is used to process the input image to generate a brightness uniformity compensation relationship and a chromaticity compensation matrix; the Micro LED display screen is used to display the initial image and the compensated and enhanced image.

[0005] A compensation enhancement display method for a Micro LED display device, characterized in that it includes a brightness compensation enhancement display method and a chromaticity compensation enhancement display method, wherein the chromaticity compensation enhancement method includes the following steps:

[0006] S01, use CS2000 or a colorimetric camera to shoot three monochromatic standard light sources of red, green and blue with 16 grayscales and 32 grayscales to obtain the chromaticity curve of the standard light source;

[0007] S02, inputting a monochrome image of 16 or 32 grayscales, displaying it on the Micro LED display, and performing sub-pixel positioning;

[0008] S03, using CS2000 or a chromaticity camera, collect three primary color grayscale image information of the Micro LED display screen to obtain the chromaticity value of each sub-pixel point;

[0009] S04, calculating the difference between the chromaticity value of each sub-pixel and the standard chromaticity value according to the standard light source chromaticity curve, and generating a first chromaticity compensation matrix; and obtaining a first compensated image according to the first chromaticity compensation matrix;

[0010] S05, inputting the image information collected in step S03 into a chromaticity detection model to obtain a second chromaticity compensation matrix; and obtaining a second compensated image according to the second chromaticity compensation matrix;

[0011] S06, the Micro LED display screen displays the first and second compensation images respectively, and the CS2000 or the chromaticity camera captures the compensation images and obtains the chromaticity value of each sub-pixel point;

[0012] S07, respectively calculate the chromaticity uniformity of the two compensated images, and take the higher image as the preferred image. If the chromaticity uniformity of the preferred image is ≥90%, it meets the requirement and the process ends. If the chromaticity uniformity of the preferred image is ≤90%, it does not meet the requirement and returns to step S04.

[0013] Furthermore, the brightness compensation enhanced display method comprises the following steps:

[0014] S31, fitting a standard light source brightness curve according to a series of grayscales and brightnesses of the standard light source, then shooting a series of grayscale standard light sources with a camera, obtaining a corresponding relationship between the grayscale recorded by the camera and the actual brightness, and fitting a brightness calibration curve;

[0015] S32, inputting a monochrome or white image, displaying it on the Micro LED display, and performing sub-pixel positioning;

[0016] S33, using the camera to capture the image on the Micro LED display screen, and using Gaussian blur filtering to obtain the grayscale value of each pixel;

[0017] S34, calculating the brightness of each pixel according to the brightness calibration curve;

[0018] S35, calculating the difference between the brightness of each pixel and the standard brightness value, fitting a brightness uniformity compensation equation, and compensating the original image according to the brightness uniformity compensation equation;

[0019] S36, the Micro LED display screen displays the compensated image, the camera captures the compensated image and obtains the grayscale value of each pixel, and calculates the brightness of each pixel according to the brightness calibration curve;

[0020] S37, calculate the brightness uniformity. If the brightness uniformity is ≥95%, it meets the requirement and the process ends. If the brightness uniformity is <95%, it does not meet the requirement and returns to step S35.

[0021] Furthermore, the chromaticity uniformity calculation formula is as follows:

[0022] Chromaticity uniformity = [1-(C max -C min ) / C mean ]×100% (1);

[0023]

[0024] (1) In the formula, C max is the value with the highest brightness, C min is the lowest brightness value, C mean is the average brightness; (2) where m is the total number of sub-pixels, C i is the brightness of each pixel.

[0025] Furthermore, the brightness uniformity calculation formula is as follows:

[0026] Brightness uniformity = [1-(L max -L min ) / L mean ]×100% (3);

[0027]

[0028] (3) In the formula, L max is the highest brightness value, L min is the lowest brightness value, L mean is the average brightness; (4) where n is the total number of pixels, L i is the brightness of each pixel.

[0029] Furthermore, the chromaticity detection model is a model obtained by training with a large amount of labeled image data using a machine learning algorithm, and a chromaticity compensation matrix can be obtained according to the input image.

[0030] The present invention has the following beneficial effects: By providing a Micro LED display device and a compensation enhanced display method, the present invention can detect the display image of the display screen, generate a compensation matrix, and improve the brightness uniformity and chromaticity uniformity of the Micro LED display image through compensation, thereby solving the current problems of uneven brightness and uneven chromaticity of Micro LED displays. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 Schematic diagram of a Micro LED display device according to the present invention.

[0032] Figure 2This is a flow chart of a chromaticity compensation and display enhancement method for a Micro LED display device according to the present invention.

[0033] Figure 3 This is a flow chart of a brightness compensation and display enhancement method for a Micro LED display device according to the present invention.

[0034] Figure 4 A standard light source chromaticity curve and compensation schematic diagram of a chromaticity compensation and display enhancement method for a Micro LED display device described in the present invention.

[0035] Figure 5 A schematic diagram of a standard light source brightness curve and a brightness calibration curve of a brightness compensation and display enhancement method for a Micro LED display device described in the present invention.

[0036] in, Figures 1 to 5 The corresponding relationship between the reference numerals and component names in the figure is:

[0037] 1. Brightness detection device, 2. Chroma detection device, 3. Acquisition and calculation platform, 4. Micro LED display screen, 5. FPGA. DETAILED DESCRIPTION

[0038] The technical solution of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0039] The components of the embodiments of the present application generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed, but merely represents the selected embodiments of the present application.

[0040] Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of this application.

[0041] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0042] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0043] Refer to the following Figure 1-Figure 5 A Micro LED display device and a compensation enhanced display method according to some embodiments of the present application are described.

[0044] A Micro LED display device, characterized in that it includes a brightness detection device 1, a chromaticity detection device 2, an acquisition and calculation platform 3 and a Micro LED display screen 4; the brightness detection device 1 is used to collect grayscale data of each pixel point of the display screen 4; the chromaticity detection device 2 is used to collect the chromaticity coordinate value and color coordinate of each pixel point or a small range of pixel points of the display screen 4; the acquisition and calculation platform 3 is used to process the input image to generate a brightness uniformity compensation relationship and a chromaticity compensation matrix; the Micro LED display screen 4 is used to display the initial image and the image after compensation and enhancement; in addition, it also includes an FPGA5, and the display of the sample image adopts a video source + FPGA5 driving mode, which can quickly replace the compensated image, and verify the compensation effect by comparing the display effect.

[0045] A compensation enhancement display method for a Micro LED display device, characterized in that it includes a brightness compensation enhancement display method and a chromaticity compensation enhancement display method, wherein the chromaticity compensation enhancement method includes the following steps:

[0046] S01, using CS2000 or a colorimetric camera to respectively shoot three monochromatic standard light sources of red, green and blue with 16 grayscales and 32 grayscales to obtain chromaticity curves of the three monochromatic standard light sources;

[0047] S02, inputting a monochrome image of 16 or 32 grayscales, displaying it on the Micro LED display, and performing sub-pixel positioning;

[0048] S03, using CS2000 or a chromaticity camera, collect three primary color grayscale image information of the Micro LED display screen to obtain the chromaticity value of each sub-pixel point;

[0049] S04, calculating the difference between the chromaticity value of each sub-pixel and the standard chromaticity value according to the standard light source chromaticity curve, and generating a first chromaticity compensation matrix; adding the original image data to the first chromaticity compensation matrix to obtain a first compensated image;

[0050] S05, inputting the image information collected in step S03 into the chromaticity detection model to obtain a second chromaticity compensation matrix; adding the original image data to the second chromaticity compensation matrix to obtain a second compensated image;

[0051] S06, the Micro LED display screen displays the first and second compensation images respectively, and the first and second compensation images are photographed by a CS2000 or a chromaticity camera to obtain the chromaticity value of each sub-pixel point of the two images respectively;

[0052] S07, respectively calculate the chromaticity uniformity of the two compensated images, and take the higher image as the preferred image. If the chromaticity uniformity of the preferred image is ≥90%, it meets the requirement and the process ends. If the chromaticity uniformity of the preferred image is ≤90%, it does not meet the requirement and returns to step S04.

[0053] In the above step S05, the chromaticity detection model used is a pre-trained machine learning model, specifically, a suitable machine learning algorithm is selected, suitable parameters are selected, and then a large amount of labeled image data is used for training. After the model training is completed, the chromaticity compensation matrix can be obtained according to the input image.

[0054] In the above step S07, the chromaticity uniformity calculation formula used is as follows:

[0055] Chromaticity uniformity = [1-(C max -C min ) / C mean ]×100% (1);

[0056]

[0057] (1) In the formula, C max is the value with the highest brightness, C min is the lowest brightness value, C mean is the average brightness; (2) where m is the total number of sub-pixels, C i is the brightness of each pixel.

[0058] In the above steps, the chromaticity curve of the standard light source is fitted using a linear fit.

[0059] Furthermore, the brightness compensation enhanced display method comprises the following steps:

[0060] S31, fitting a standard light source brightness curve according to a series of grayscales (such as 16, 32, 64, 128, 192) of the standard light source and the corresponding brightness, then using a camera to shoot a series of standard light sources with grayscales, obtaining a corresponding relationship between the grayscales recorded by the camera and the actual brightness, and fitting a brightness calibration curve;

[0061] S32, inputting a monochrome or white image, displaying it on the Micro LED display, and performing sub-pixel positioning;

[0062] S33, using the camera to capture the image on the Micro LED display screen, and using Gaussian blur filtering to obtain the grayscale value of each pixel;

[0063] S34, calculating the brightness of each pixel according to the brightness calibration curve;

[0064] S35, calculating the difference between the brightness of each pixel and the standard brightness value, fitting a brightness uniformity compensation equation, and compensating the original image according to the brightness uniformity compensation equation;

[0065] S36, the Micro LED display screen displays the compensated image, the camera captures the compensated image and obtains the grayscale value of each pixel, and calculates the brightness of each pixel according to the brightness calibration curve;

[0066] S37, calculate the brightness uniformity. If the brightness uniformity is ≥95%, it meets the requirement and the process ends. If the brightness uniformity is <95%, it does not meet the requirement and returns to step S35.

[0067] In the above step S37, the brightness uniformity calculation formula is as follows:

[0068] Brightness uniformity = [1-(L max -L min ) / L mean ]×100% (3);

[0069]

[0070] (3) In the formula, L max is the highest brightness value, L min is the lowest brightness value, L mean is the average brightness; (4) where n is the total number of pixels, L i is the brightness of each pixel.

[0071] In the above steps, the standard light source brightness curve and the brightness calibration curve are fitted using a polynomial, and the specific formula is:

[0072] L=(AG 3 +BG 2 +CG+D) gamma (5);

[0073] In formula (5), L is brightness, G is grayscale value, A, B, C, D are fitting coefficients, and gamma is generally set to 2.

[0074] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A Micro LED display device, characterized in that: It includes a brightness detection device, a chromaticity detection device, a collection and calculation platform and a Micro LED display screen; the brightness detection device is used to collect grayscale data of each pixel point of the display screen; the chromaticity detection device is used to collect the chromaticity coordinate value and color coordinate of each pixel point or a small range of pixel points of the display screen; The acquisition and calculation platform is used to process the input image and generate a brightness uniformity compensation relationship and a chromaticity compensation matrix; the Micro LED display screen is used to display the initial image and the compensated and enhanced image.

2. The compensation and enhanced display method of a Micro LED display device according to claim 1, characterized in that: The invention comprises a brightness compensation enhancement display method and a chromaticity compensation enhancement display method, wherein the chromaticity compensation enhancement method comprises the following steps: S01, use CS2000 or a colorimetric camera to shoot three monochromatic standard light sources of red, green and blue with 16 grayscales and 32 grayscales to obtain the chromaticity curve of the standard light source; S02, inputting a monochrome image of 16 or 32 grayscales, displaying it on the Micro LED display, and performing sub-pixel positioning; S03, using CS2000 or a chromaticity camera, collect three primary color grayscale image information of the Micro LED display screen to obtain the chromaticity value of each sub-pixel point; S04, calculating the difference between the chromaticity value of each sub-pixel and the standard chromaticity value according to the standard light source chromaticity curve, and generating a first chromaticity compensation matrix; and obtaining a first compensated image according to the first chromaticity compensation matrix; S05, inputting the image information collected in step S03 into a chromaticity detection model to obtain a second chromaticity compensation matrix; and obtaining a second compensated image according to the second chromaticity compensation matrix; S06, the Micro LED display screen displays the first and second compensation images respectively, and the CS2000 or the chromaticity camera captures the compensation images and obtains the chromaticity value of each sub-pixel point; S07, respectively calculate the chromaticity uniformity of the two compensated images, and take the higher image as the preferred image. If the chromaticity uniformity of the preferred image is ≥90%, it meets the requirement and the process ends. If the chromaticity uniformity of the preferred image is ≤90%, it does not meet the requirement and returns to step S04.

3. The compensation and enhanced display method of a Micro LED display device according to claim 2, characterized in that: The brightness compensation enhanced display method comprises the following steps: S31, fitting a standard light source brightness curve according to a series of grayscales and brightnesses of the standard light source, then shooting a series of grayscale standard light sources with a camera, obtaining a corresponding relationship between the grayscale recorded by the camera and the actual brightness, and fitting a brightness calibration curve; S32, inputting a monochrome or white image, displaying it on the Micro LED display, and performing sub-pixel positioning; S33, using the camera to capture the image on the Micro LED display screen, and using Gaussian blur filtering to obtain the grayscale value of each pixel; S34, calculating the brightness of each pixel according to the brightness calibration curve; S35, calculating the difference between the brightness of each pixel and the standard brightness value, fitting a brightness uniformity compensation equation, and compensating the original image according to the brightness uniformity compensation equation; S36, the Micro LED display screen displays the compensated image, the camera captures the compensated image and obtains the grayscale value of each pixel, and calculates the brightness of each pixel according to the brightness calibration curve; S37, calculate the brightness uniformity. If the brightness uniformity is ≥95%, it meets the requirement and the process ends. If the brightness uniformity is <95%, it does not meet the requirement and returns to step S35.

4. The compensation and enhanced display method of a Micro LED display device according to claim 2, characterized in that: The chromaticity uniformity calculation formula is as follows: Chromaticity uniformity = [1-(C max -C min ) / C mean ]×100% (1); (1) In the formula, C max is the value with the highest brightness, C min is the lowest brightness value, C mean is the average brightness; (2) where m is the total number of sub-pixels, C i is the brightness of each pixel.

5. The compensation and enhanced display method of a Micro LED display device according to claim 3, characterized in that: The brightness uniformity calculation formula is as follows: Brightness uniformity = [1-(L max -L min ) / L mean ]×100% (3); (3) In the formula, L max is the highest brightness value, L min is the lowest brightness value, L mean is the average brightness; (4) where n is the total number of pixels, L i is the brightness of each pixel.

6. The compensation and enhanced display method of a Micro LED display device according to claim 2, characterized in that: The chromaticity detection model is a model obtained by training using a large amount of labeled image data using a machine learning algorithm, and a chromaticity compensation matrix can be obtained according to the input image.