Display Panel Stain Removal via Segmented Sampling Matrices
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Solution Overview
Problem
High-resolution display devices face challenges in removing stains, such as Mura or smudges, particularly those with line or grid shapes, due to manufacturing variations, as existing compensation methods are inefficient and require high memory capacity.
Innovation Solution
The display device classifies pixels into regions based on stain location and employs different sampling compensation operations using varying-sized sampling matrices to generate compensation data, reducing memory usage and effectively removing stains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If compensation data for all pixels is stored in memory, then stain removal accuracy is improved, but memory device capacity increases
Solution Approach 1:
The display panel is divided into multiple regions based on stain characteristics. Different sampling compensation operations are applied to different regions, allowing selective storage of compensation data only for regions with stains, thereby reducing overall memory capacity requirements while maintaining accurate stain removal where needed
Solution Approach 2:
Different sampling matrix sizes are used for different regions depending on stain presence and characteristics. Regions with stains use appropriate sampling compensation operations, while stain-free regions use standard compensation, optimizing memory usage according to local display quality requirements
2Quantity of substance
If interpolation is used to generate compensation data, then memory capacity is reduced, but line-shaped or grid-shaped stains cannot be properly removed
Solution Approach 1:
The display panel is segmented into regions with and without line-shaped or grid-shaped stains. For regions containing such stains, appropriate sampling compensation operations are applied instead of simple interpolation, ensuring these specific stain patterns are properly removed while maintaining reduced memory capacity requirements
Solution Approach 2:
The sampling matrix size is dynamically adjusted based on the type and location of stains. For line-shaped or grid-shaped stains, specific sampling compensation operations with appropriate matrix sizes are applied, changing the compensation parameters to match the stain characteristics and achieve effective removal
Data Source
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AI summary
A display device including a display panel includes a plurality of pixels corresponding to a plurality of regions, an image compensator configured to obtain compensation data for the pixels by performing respective sampling compensation operations for the regions, and to generate compensated image data by compensating input image data based on the compensation data, the compensation data being generated by performing at least two of the sampling compensation operations based on respective sampling matrices having different sizes, and a display panel driver configured to drive the display panel to display an image corresponding to the compensated image data on the display panel.