Sub-pixel Uniformity Compensation via Compression and Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electronic display systems face challenges in providing uniformity compensation due to memory size limitations and sub-pixel mismatch, particularly in achieving high visual quality with reduced memory usage and low mismatch errors.
Innovation Solution
The implementation of techniques that encode per sub-pixel compensation maps using low bit-depth codes, apply compression algorithms to 1×1 sub-pixel uniformity compensation maps, and generate foveated compensation maps to reduce memory size and sub-pixel mismatch, including the use of look-up tables for decoding and decompression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per sub-pixel compensation maps are stored with high precision, then uniformity compensation quality is improved, but memory size requirement increases
Solution Approach 1:
The compensation map is divided into multiple compensation regions, each with its own compensation values. This segmentation allows the system to store compensation data more efficiently by grouping pixels with similar characteristics together, reducing the overall memory requirement while maintaining compensation precision where needed.
Solution Approach 2:
The patent changes the representation parameters of compensation data by using differential compensation values (differences between adjacent pixel compensation values) instead of absolute values. This parameter transformation reduces the number of bits required to represent each compensation value, thereby reducing memory size while preserving compensation quality.
2Measurement precision
If per sub-pixel compensation is applied, then visual quality is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple compensation functions into a unified compensation map structure that handles both global and local compensation requirements. By merging the compensation for different regions and using a standardized data structure, the system reduces complexity while maintaining the ability to provide per-sub-pixel compensation for high visual quality.
3Reliability
If compensation data is stored for all pixels, then uniformity compensation is improved, but manufacturing cost increases
Solution Approach 1:
The patent extracts only the essential compensation information by storing differential values (differences between adjacent pixels) rather than complete compensation values for every pixel. This extraction approach reduces the amount of data that needs to be stored and processed, thereby reducing manufacturing costs for memory and processing resources while maintaining uniformity compensation reliability.
Data Source
AI summary
A compensation system includes a processor configured to determine compensated data for display on a sub-pixel of the display device. The processor may receive image data configured to be displayed on the sub-pixel, convert the gray level data to first voltage data; fetch, from a memory, compressed 1×1 sub-pixel uniformity compensation data for the sub-pixel, and decompress the compressed 1×1 sub-pixel uniformity compensation data via a decompressor. The decompressed data comprises the 1×1 sub-pixel uniformity compensation data for the sub-pixel. The processor may also determine a voltage compensation offset value associated with the sub-pixel based on the second voltage data, generate compensated voltage data based in part on the voltage compensation offset value and the first voltage data, convert the compensated voltage data to compensated gray level data; and transmit the compensated gray level data to pixel driving circuitry associated with the sub-pixel.