Image Data Correction Using Adaptive Sampling Windows for Mura Defects
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Solution Overview
Problem
Display devices often suffer from mura defects due to process variations, leading to non-uniform luminance, and existing correction methods using a single sampling window are not optimal for all devices.
Innovation Solution
An image data correcting device that selects a sampling window based on luminance distribution and divides the display panel into pixel blocks, using correction data for representative pixels at different gray levels to perform bilinear and linear interpolation for accurate mura correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single square sampling window is used for correction data, then storage space and processing time are reduced, but optimal mura correction cannot be performed for all different display devices
Solution Approach 1:
The patent segments the sampling window into multiple configurations (different sizes and shapes including square, rectangular, and triangular windows) to match different mura defect patterns. Each sampling window configuration can be independently selected and applied to specific display devices based on their luminance distribution characteristics, enabling tailored correction without requiring a single complex universal window.
Solution Approach 2:
The patent implements dynamic selection of sampling window configurations based on the actual luminance distribution of each display device. The system determines the appropriate sampling window size, shape, and position dynamically during the correction process, allowing the correction mechanism to adapt to varying mura patterns across different devices rather than using a fixed static configuration.
2Measurement precision
If correction data is obtained and stored on a pixel-by-pixel basis, then correction precision is improved, but takt time and storage space are excessively increased
Solution Approach 1:
The patent applies partial action by using sampling windows that cover multiple pixels simultaneously rather than processing each pixel individually. The sampling window captures luminance information from a group of pixels, and correction data is generated for the entire window region. This partial approach provides sufficient correction precision for most display devices while significantly reducing the computational burden and storage requirements compared to pixel-by-pixel processing.
Solution Approach 2:
The patent implements local quality by applying different sampling window configurations to different regions of the display panel based on local luminance distribution characteristics. Each sampling window is optimized for its specific region's mura pattern, providing locally adapted correction that maintains precision where needed while avoiding unnecessary processing in regions with uniform luminance.
3Measurement precision
If multiple sampling windows with different sizes are used, then optimal correction for various luminance distributions is achieved, but storage space and processing complexity increase
Solution Approach 1:
The patent changes the parameters of sampling windows (size, shape, position) to match different luminance distribution patterns. By varying these parameters, the system can accurately capture mura defects with different spatial characteristics using appropriately sized and shaped windows, improving measurement precision without requiring excessive correction data for every possible scenario.
Solution Approach 2:
The patent creates a universal correction system that can handle various mura patterns using a set of standardized sampling window configurations. The same framework and processing logic can accommodate different window types (square, rectangular, triangular) and sizes, making the system multi-functional and adaptable to diverse display devices without requiring completely separate correction mechanisms for each case.
Data Source
AI summary
An image data correcting device included in a display device includes a correction data memory and a correction calculator. The correction data memory stores sampling window select information indicating a sampling window selected from a plurality of sampling windows that are different from each other, and correction data obtained utilizing the selected sampling window with respect to the display device. The correction calculator receives image data, and corrects the image data based on the correction data for pixels at positions corresponding to the selected sampling window indicated by the sampling window select information.


