Method for improving consistency of display brightness of whole television
By using a brightness detection and compensation algorithm that divides the display into grayscale levels, combined with optical measurement equipment and block calculation, the problem of inconsistent brightness across the entire LCD TV was solved, improving display consistency and production yield.
Patent Information
- Application Number
- CN202511137047.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-14
- Publication Date
- 2025-11-11
AI Technical Summary
Inconsistent brightness across the entire LCD TV display results in visual defects such as bright spots, dark spots, bright bands, and dark bands, affecting user experience and production yield.
Brightness data of the entire LCD TV at multiple gray levels is collected by optical measurement equipment, divided into 8×8 pixel blocks, and the difference between the average brightness value and the global average value is calculated to obtain the demura compensation value ΔD(n). This value is then combined with the original compensation data D(n) of the LCD panel and written into the drive control module for brightness consistency adjustment.
It achieves precise control over the overall brightness of the LCD TV, eliminates uneven brightness, improves display consistency and user experience, and ensures product yield.
Smart Images

Figure CN120932601A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to LCD TV technology, and more specifically to a method for improving the brightness consistency of an entire TV display. Background Technology
[0002] With the rapid development of LCD TV technology, consumers' demands for display effects are increasing, and features such as high resolution, high contrast, and wide color gamut have become core selling points for product competition. However, the continuous increase in hardware functions has also made the manufacturing process of LCD TVs increasingly complex. From panel production and backlight module assembly to overall unit debugging, every step may lead to inconsistent brightness in different areas of the display due to factors such as differences in material properties, assembly precision deviations, and aging of optical components.
[0003] Currently, although LCD panel manufacturers use demura (brightness non-uniformity compensation) technology to perform basic calibration on the brightness uniformity of the panel itself, after the TV is assembled, due to the influence of factors at the overall level such as the backlight system, optical films, and shell structure, visual defects such as bright spots, dark spots, bright bands, and dark bands are still unavoidable. These defects will affect the user's subjective perception and have a certain impact on the production yield.
[0004] Therefore, developing a more precise and comprehensive brightness consistency control solution at the overall machine level has become a key requirement for improving product quality and ensuring production yield. Summary of the Invention
[0005] The technical problem to be solved by the present invention is to provide a method for improving the brightness consistency of the entire display of a television, so as to achieve precise control over the brightness consistency of an LCD television and ensure the product yield of the LCD television.
[0006] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows: A method for improving the brightness uniformity of a television display includes the following steps: S1. Use optical measurement equipment to collect brightness data of the entire LCD TV at multiple gray levels; S2. Divide the screen into multiple blocks. For each gray level, calculate the average brightness of each block under that gray level, and compare the average brightness of each block with the global average under that gray level to determine the uneven brightness areas under that gray level. S3. For each gray level, the demura compensation value ΔD(n) is calculated based on the difference between the average brightness of the non-uniform brightness region under that gray level and the corresponding global average, where n is the gray level number; S4. Read the demura compensation data D(n) corresponding to each gray level inside the LCD panel; S5. For each gray level, by combining D(n) and ΔD(n) under that gray level, we obtain the new demura compensation data De(n) under that gray level; S6. Write the new demura compensation data De (n) for each gray level into the drive control of the LCD TV to complete the brightness consistency adjustment.
[0007] Furthermore, in step S1, the optical measurement device is a high-resolution CCD camera.
[0008] Furthermore, in step S1, the acquisition of brightness data of the entire LCD TV at multiple gray levels includes: The brightness data of the RGB channels of the entire TV were captured at 25 grayscale, 60 grayscale, 128 grayscale, and 255 grayscale levels.
[0009] Furthermore, in step S2, the block is an 8×8 pixel block.
[0010] Furthermore, in step S3, the difference is calculated by the ratio of the average brightness of the uneven brightness region to the corresponding global average.
[0011] Furthermore, in step S5, by combining D(n) and ΔD(n) at this gray level, a new demura compensation data De(n) at this gray level is obtained, including: The new demura compensation data De (n) at this gray level is calculated by De(n)=D(n)+ΔD(n).
[0012] The beneficial effects of this invention are: (1) Improve brightness uniformity: This invention achieves refined control of the overall brightness of an LCD TV by collecting brightness data in grayscale zones, calculating and writing new compensation data. This effectively improves the uneven brightness of the display caused by complex manufacturing processes, such as bright spots, dark spots, bright bands, and dark bands. It significantly improves the brightness consistency of the entire LCD TV and optimizes the user's subjective viewing experience.
[0013] (2) Ensure product yield: To address the issue of uneven brightness affecting product quality in LCD TV production, this invention reduces defective products caused by display defects through precise brightness detection and compensation adjustment, thereby ensuring the product yield of LCD TVs and reducing rework rates and costs in the production process. Attached Figure Description
[0014] Figure 1 This is a flowchart of a method for improving the brightness consistency of a television display in an embodiment of the present invention. Detailed Implementation
[0015] This invention aims to provide a method for improving the brightness consistency of an entire television display, achieving precise control over the brightness consistency of LCD TVs and ensuring high product yield. The core idea is to combine brightness detection and compensation algorithms at different gray levels to achieve precise control over the brightness consistency of the entire LCD TV display. Specifically, firstly, optical measurement equipment is used to collect brightness data of the entire TV at multiple gray levels. After dividing the screen into blocks, the difference between the average brightness of each block and the corresponding global average brightness of each gray level is calculated, resulting in a demura compensation value ΔD(n) at the whole-unit level. This compensation value is then combined with the original demura compensation data D(n) of the LCD panel to obtain new compensation data De(n), which is written into the whole-unit drive control. Thus, based on the panel's basic compensation, fine-tuning at the whole-unit level eliminates brightness unevenness phenomena such as bright spots and dark spots, ensuring high product yield.
[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0017] This embodiment provides a method for improving the brightness consistency of a television display. (See also...) Figure 1 The implementation process includes the following steps: S1. Collect RGB channel brightness data under multiple grayscale levels: In this step, optical measurement equipment is used to collect brightness data of the entire LCD TV at multiple gray levels.
[0018] In one exemplary implementation, the optical measurement device can use a high-resolution CCD camera. Compared to ordinary optical sensors, high-resolution CCDs can capture pixel-level brightness details, ensuring the accuracy of subsequent zonal analysis and avoiding the omission of tiny areas of uneven brightness due to sampling blur.
[0019] Because the light-emitting characteristics of LCD panels differ at different gray levels (brightness levels), unevenness phenomena such as bright spots and dark spots may appear differently at different gray levels (for example, dark spots are more obvious at low gray levels, while bright spots are more prominent at high gray levels). Therefore, the collected gray level brightness data can be 25 gray levels, 60 gray levels, 128 gray levels, and 255 gray levels, covering low, medium, and high gray levels, ensuring that the compensation effect is effective across the entire brightness range. Furthermore, the colors displayed by LCD TVs are composed of the three primary colors of red, green, and blue. Uneven brightness in a single channel may lead to color deviation (such as localized red or blue tint). By using RGB channel separation and collecting brightness data for each channel separately, color deviation problems can be specifically compensated for, improving overall picture quality.
[0020] S2. Calculate the average brightness of each area of the screen: In this step, the screen is divided into multiple blocks, and for each grayscale level, the average brightness of each block under that grayscale level is calculated.
[0021] In one exemplary implementation, regarding the size of the screen partitions, if the partitions are too large, they may obscure local bright / dark spots, making it impossible to accurately locate defects; if the partitions are too small, random fluctuations in individual pixels may lead to misjudgments, and the large amount of data increases the computational load. Therefore, considering both accuracy and efficiency, the screen can be divided into 8×8 pixel partitions, which can capture minute defects while smoothing pixel-level noise. The average brightness of each partition under the same grayscale represents the standard brightness level at that brightness level. By statistically analyzing the average brightness of each partition under the corresponding grayscale, a comparison basis is used for subsequent identification of uneven brightness areas.
[0022] S3. Compare with the global mean to identify areas of uneven brightness: In this step, the average brightness of each block is compared with the global average value under that gray level to determine the areas with uneven brightness under that gray level.
[0023] In one exemplary implementation, a deviation threshold can be preset. By comparing the average brightness of each block with the global mean at that gray level, it can be determined whether the deviation exceeds the deviation threshold. If it does, the corresponding block can be identified as an uneven region, providing a clear target area for subsequent compensation.
[0024] S4. Obtain the demura compensation value ΔD(n) by the ratio of the non-uniform region to the global mean: In this step, for each gray level, the demura compensation value ΔD(n) is calculated based on the difference between the average brightness of the non-uniform brightness region under that gray level and the corresponding global mean.
[0025] In one exemplary implementation, the perception of brightness deviation is relative. The degree of deviation is quantified by the ratio of "average brightness of the non-uniform area / average brightness of the entire area" (e.g., a ratio of 1.2 represents that the brightness of the area is 20% too high), which makes the compensation value more in line with the characteristics of human vision. Since the deviation patterns are different at different gray levels (e.g., an area is too bright at gray level 255 but may be normal at gray level 25), calculating the compensation value separately for each gray level ensures the targeting and accuracy of the compensation.
[0026] S5. Read the demura compensation data D(n) of the LCD panel: In this step, the demura compensation data D(n) corresponding to each gray level inside the LCD panel is read.
[0027] In one exemplary implementation, the demura compensation data D(n) from the panel manufacturer serves as a basic compensation for defects in the panel production stage (such as backlight unevenness or liquid crystal molecule alignment deviation). However, the assembly of the entire television set (such as backlight module and optical film installation) may introduce new non-uniformities. New demura compensation data is obtained by reading the demura compensation data D(n) corresponding to each grayscale level within the liquid crystal panel as the basis for subsequent new demura compensation data, and then superimposing the previous demura compensation value ΔD(n) onto it.
[0028] S6. Calculate the new demura compensation data De(n): In this step, for each gray level, the new demura compensation data De(n) for that gray level is obtained by combining D(n) and ΔD(n) under that gray level.
[0029] In one exemplary implementation, for each grayscale level, new compensation data is calculated using the formula De(n) = D(n) + ΔD(n), where De(n) is the final compensation value. D(n) addresses defects inherent to the panel itself, while ΔD(n) addresses new defects introduced during assembly. The combination of these two factors achieves end-to-end compensation across the entire process, eliminating uneven brightness at its source. Based on this formula, if a certain area has no new defects during the assembly stage (ΔD(n) = 0), then De(n) = D(n), preserving the original compensation effect of the panel; if new defects exist, they are corrected using ΔD(n).
[0030] S7. Write the new demura compensation data De(n) into the TV software: In this step, the new demura compensation data De(n) for each grayscale level is written into the drive control of the entire LCD TV to complete the brightness consistency adjustment.
[0031] In one exemplary implementation, the De(n) values for each grayscale level are written to the drive control module of the LCD TV using a tool to complete brightness consistency adjustment. The writing of new demura compensation data De(n) for each grayscale level ensures a consistent display effect when the user views content at different brightness levels.
[0032] Although embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, and all such changes and alterations shall not depart from the protection scope of the present invention.
Claims
1. A method for improving the brightness uniformity of a television display, characterized in that, Includes the following steps: S1. Use optical measurement equipment to collect brightness data of the entire LCD TV at multiple gray levels; S2. Divide the screen into multiple blocks. For each gray level, calculate the average brightness of each block under that gray level, and compare the average brightness of each block with the global average under that gray level to determine the uneven brightness areas under that gray level. S3. For each gray level, the demura compensation value ΔD(n) is calculated based on the difference between the average brightness of the non-uniform brightness region under that gray level and the corresponding global average, where n is the gray level number; S4. Read the demura compensation data D(n) corresponding to each gray level inside the LCD panel; S5. For each gray level, by combining D(n) and ΔD(n) under that gray level, we obtain the new demura compensation data De(n) under that gray level; S6. Write the new demura compensation data De (n) for each gray level into the drive control of the LCD TV to complete the brightness consistency adjustment.
2. The method for improving the brightness uniformity of a television display as described in claim 1, characterized in that, In step S1, the optical measurement device is a high-resolution CCD camera.
3. The method for improving the brightness uniformity of a television display as described in claim 2, characterized in that, In step S1, the acquisition of brightness data of the entire LCD TV at multiple gray levels includes: The brightness data of the RGB channels of the entire TV were captured at 25 grayscale, 60 grayscale, 128 grayscale, and 255 grayscale levels.
4. The method for improving the brightness uniformity of a television display as described in claim 1, characterized in that, In step S2, the block is an 8×8 pixel block.
5. The method for improving the brightness uniformity of a television display as described in claim 1, characterized in that, In step S3, the difference is calculated by the ratio of the average brightness of the uneven brightness region to the corresponding global average.
6. A method for improving the brightness uniformity of a television display as described in any one of claims 1-5, characterized in that, In step S5, by combining D(n) and ΔD(n) at this gray level, new demura compensation data De(n) at this gray level is obtained, including: The new demura compensation data De (n) at this gray level is calculated by De(n)=D(n)+ΔD(n).
Citation Information
Patent Citations
Method for improving uniformity of liquid crystal display television
CN111901543A
Compensation data determination method, compensation data determination system and storage device
CN115171580A
OLED display panel sub-pixel level color equalization compensation method and system based on De-Mura compensation technology
CN119339670A