Display Mura Correction Using Built-In Image Processor
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Solution Overview
Problem
Existing display mura correction methods are inefficient due to repeated voltage adjustments and have a large volume with complex structures, leading to low correction efficiency and high costs.
Innovation Solution
A method and system for display mura correction that involves obtaining initial image data, determining target feature data, and using a correspondence between feature data and correction values to generate a target correction value set, which is then written into the terminal to correct mura regions, allowing for improved accuracy and efficiency without the need for external peripheral compensation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a peripheral compensation commissioning system is used to correct mura by repeatedly adjusting voltage, then mura correction can be achieved, but correction efficiency is low and the system has large volume with complex structure
Solution Approach 1:
The patent extracts the mura correction function from the external peripheral compensation commissioning system and integrates it into the terminal device itself. The terminal device independently performs image data acquisition, mura region identification, and correction value application without requiring external equipment, thereby eliminating the complex peripheral system while maintaining correction capability
Solution Approach 2:
The terminal device performs self-correction of mura defects using its own processing capabilities. The device acquires initial image data, identifies mura regions, determines correction values from correspondence sets, and applies corrections autonomously without external intervention, enabling the system to serve itself
2Reliability
If a peripheral compensation commissioning system is used for mura correction, then correction can be performed, but the system has large volume
Solution Approach 1:
The patent merges the mura correction functionality into the terminal device's existing image processing architecture. By combining image data acquisition, mura region identification, correction value determination, and correction application within a single integrated system, the patent eliminates the need for separate peripheral equipment, thereby reducing overall system volume while maintaining correction capability
3Manufacturing precision
If repeated voltage adjustments are performed for mura correction, then brightness uniformity can be improved, but correction efficiency is low
Solution Approach 1:
The patent performs preliminary identification of mura regions and determination of correction values before applying corrections. By pre-processing image data to identify problematic regions and calculate appropriate correction values from correspondence sets, the system prepares all necessary correction parameters in advance, enabling efficient single-pass correction without repeated iterative adjustments
Solution Approach 2:
The patent replaces the mechanical iterative voltage adjustment process with a data-processing approach. Instead of physically adjusting voltage multiple times based on visual feedback, the system uses image data analysis, correspondence sets, and computational algorithms to determine correction values, which are then applied directly to pixel data, substituting mechanical iteration with efficient computational processing
Data Source
AI summary
A display mura correction method includes: obtaining initial image data of an initial image displayed on a display of a terminal, where the initial image data includes image data of a mura region corresponding to the initial image, when at least one pixel whose brightness value is not in a reference threshold set exists in the initial image data, the mura region is a region that is covered by the at least one pixel on the display, and a target feature data set of the mura region includes a set of target feature data of the at least one pixel; obtaining, according to a correspondence between feature data and a correction value and the target feature data of the at least one pixel, a target correction value set corresponding to the target feature data set; and writing the target correction value set into the terminal.