Compressing Compensation Equation Coefficients for Display Defect Correction
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Solution Overview
Problem
As display panel sizes increase, the amount of compensation information for defects in images also grows, requiring high-capacity memory, and existing compression methods can lead to artifacts if the compression ratio is too high, especially when compressing large areas.
Innovation Solution
An apparatus and method that compresses coefficient values of a compensation equation using sequential first and second compression techniques, constructing two-dimensional tables and bitmaps to efficiently reduce memory capacity while maintaining association between adjacent pixels or blocks, preventing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the size of display panel is increased, then the display area is increased, but the amount of compensation information increases requiring high-capacity memory
Solution Approach 1:
The image is divided into multiple blocks, and each block is compressed independently using block-based compression techniques. This segmentation allows the compensation information to be processed in manageable units, reducing the overall memory requirement while maintaining compensation quality across the entire display panel.
Solution Approach 2:
The patent transforms the one-dimensional array of compensation coefficients into a two-dimensional block structure. By organizing coefficients spatially according to their position in the display panel and applying compression algorithms that exploit spatial redundancy within blocks, the patent achieves more efficient compression scaling with display size.
2Quantity of substance
If compensation information is compressed at a high compression ratio, then the memory capacity is reduced, but artifact occurs between compressed areas
Solution Approach 1:
Different compression strategies are applied to different regions of the image based on local characteristics. Blocks with high spatial frequency content or edges use lower compression ratios to prevent artifacts, while uniform regions use higher compression ratios to maximize memory reduction. This adaptive approach maintains image quality while achieving efficient compression.
Solution Approach 2:
Adjacent blocks are merged or overlapped in the compression process to ensure continuity across block boundaries. By sharing boundary pixels or applying transition smoothing between compressed blocks, the patent eliminates visible artifacts that would otherwise appear at the interfaces between independently compressed areas.
3Quantity of substance
If the compression ratio is increased, then the memory capacity is reduced, but the association between adjacent pixels is lost causing artifact
Solution Approach 1:
Before applying high-ratio compression, the patent performs preliminary processing to preserve edge information and spatial relationships. This may include edge detection, gradient calculation, or predictive coding that captures the association between adjacent pixels before compression, allowing the compression algorithm to maintain these relationships even at high compression ratios.
Solution Approach 2:
The compression process incorporates feedback mechanisms where the compressed output is compared with the original, and error information is used to adjust compression parameters for subsequent blocks. This feedback loop ensures that critical spatial associations are preserved by adapting the compression ratio or method based on the importance of pixel relationships in different regions.
Data Source
AI summary
The present disclosure discloses an apparatus and method for compressing coefficient values of a compensation equation for compensating for a defect in an image and a circuit for compensating for display data using compression values compressed by the apparatus and method. The apparatus for compressing coefficient values of a compensation equation includes a coefficient value provision unit configured to provide coefficient values of a coefficient of a compensation equation for compensating for a defect in an image and location information for each pixel and a coefficient value compression unit configured to provide a first compression bitmap and a second compression bitmap by sequentially performing first compression and second compression on the coefficient value.