Sub-Pixel Characteristic Encoding for Display Demura Memory Limits
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Solution Overview
Problem
The increasing size of display panels and limited space for driver ICs on these panels pose a challenge in recording the physical characteristics of sub-pixels, such as grayscale-luminance relationships, due to memory capacity constraints, necessitating effective data compression methods to perform demura operations.
Innovation Solution
A method involving a processor that receives color-related data, generates pixel-index data through variable-length coding, and removes redundant sub-pixel data pieces based on classification groups to reduce memory requirements, leveraging the similarity in spatial trends of sub-pixel characteristics across different colors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If memory capacity is increased to record physical characteristics of all sub-pixels, then data completeness is improved, but driver IC size and height increase
Solution Approach 1:
The patent extracts only the essential physical characteristic data needed for demura operation, separating it from complete sub-pixel data. By recording only extracted features rather than full data sets, the memory capacity requirement is reduced while still enabling effective demura processing.
Solution Approach 2:
Instead of recording complete sub-pixel data and then processing it, the patent inverts the approach by first extracting essential characteristics and recording only those. This inversion reduces the data volume that needs to be stored while maintaining the ability to perform demura operations.
2Measurement precision
If complete sub-pixel data is recorded for accurate demura operation, then color rendering accuracy is improved, but data size increases
Solution Approach 1:
The patent extracts essential physical characteristic data from complete sub-pixel measurements. By identifying and recording only the most relevant features needed for accurate demura operation, the data size is reduced while maintaining color rendering accuracy.
Solution Approach 2:
The patent transforms complete sub-pixel data into a different parameter representation that captures essential characteristics more efficiently. By changing how the data is parameterized and encoded, accurate color rendering can be achieved with smaller data sets.
Data Source
AI summary
A method for reducing a size of data required for recording a physical characteristic of an optical device is proposed. By performing variable-length coding on sub-pixel data pieces that respectively represent physical characteristics of multiple sub-pixels of the optical device based on a similarity in spatial trend of the physical characteristics of the sub-pixels, a plurality of pixel-index data pieces are generated, and a part of the sub-pixel data pieces can thus be removed to obtain reduced sub-pixel data pieces. The pixel-index data pieces and the reduced sub-pixel data pieces cooperatively replace the sub-pixel data pieces to serve as an index for finding the physical characteristics of the sub-pixels.


