Mura Compensation for Display Panels Using Interpolation
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Solution Overview
Problem
Conventional Mura compensation methods for display panels are ineffective for static images and low grayscale images, and require high processing speed memory for HD images, limiting their ability to improve viewing comfort and reducing memory speed requirements.
Innovation Solution
A Mura compensation method that shifts grayscales downwards, generates a Mura value index table, and uses linear or non-linear interpolation algorithms based on image type to calculate Mura values, reducing memory speed requirements and enhancing compensation effectiveness for static and low grayscale images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If linear interpolation method is used for Mura compensation, then calculation is easy and implementation is simple, but compensation effectiveness for static images and low grayscale images is poor
Solution Approach 1:
The patent changes the interpolation parameter selection based on image characteristics. For static images, it uses non-linear interpolation algorithm; for dynamic images, it uses linear interpolation algorithm. This parameter adaptation resolves the contradiction by optimizing compensation effectiveness for different image types while maintaining computational efficiency where appropriate.
Solution Approach 2:
The patent applies different compensation strategies to different regions of the grayscale range. It specifically addresses low grayscale values (0 to lowest grayscale) by generating an index table through luminance information acquisition, while using interpolation for higher grayscales. This local differentiation improves overall compensation effectiveness without excessive computational burden.
2Manufacturing precision
If all grayscale luminance information is obtained and stored through image console, then complete Mura compensation can be achieved, but high processing speed memory is required for HD images
Solution Approach 1:
The patent extracts only the necessary luminance information from the image console - specifically for grayscale 0 to the lowest grayscale - rather than storing all grayscale luminance information. This extraction approach maintains compensation accuracy for critical low grayscale regions while significantly reducing memory requirements and processing speed demands for HD images.
Solution Approach 2:
The patent segments the grayscale range into two parts: low grayscale (0 to lowest grayscale) handled by index table lookup, and higher grayscales handled by interpolation calculation. This segmentation allows the system to avoid storing complete luminance information for all grayscales, reducing memory burden while maintaining compensation effectiveness through selective precise measurement and calculation.
Data Source
AI summary
The invention provides a Mura compensation method for display panel, which extracts the luminance information of a grayscale b other than the lowest grayscale from the inputted image through an image console, generates a Mura value index table for 0 to the lowest grayscale; uses linearly interpolation calculate the Mura values for the remaining grayscales; determines the inputted data signal; for low grayscale image smaller than the lowest grayscale, searches the index table for Mura value to perform Mura compensation to make the compensated grayscale larger than the lowest grayscale; for dynamic image, uses linear interpolation to calculate the Mura value corresponding to the inputted data signal; and for static image, uses non-linear interpolation to calculate the Mura value corresponding to the inputted data signal. As such, the Mura compensation effect is improved for static and low grayscale images; moreover, the memory speed requirement is reduced.