Display Stress Data Compression for High-Resolution Memory Limits
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Solution Overview
Problem
As the resolution of display panels increases, the size of the stress data memory required to store stress data representing pixel degradation in display devices like OLEDs grows, leading to memory size issues.
Innovation Solution
A method of compressing stress data in display devices by dividing the data into block stress data, generating multiple compressed codes using various encoding modes, selecting an optimal encoding mode based on code lengths and available bits, and generating a compressed bitstream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the resolution of display panel is increased, then the display quality is improved, but the size of stress data memory is increased
Solution Approach 1:
The stress data is divided into multiple blocks corresponding to different regions of the display panel. Each block is encoded independently using multiple encoding modes (PCM, DPCM, entropy coding), allowing selective compression based on local characteristics while managing overall memory requirements for high-resolution displays.
2Quantity of substance
If compression is applied to stress data, then memory size is reduced, but data loss increases
Solution Approach 1:
The system dynamically selects among multiple encoding modes (PCM for no loss, DPCM for differential compression, entropy coding for further compression) based on the characteristics of each stress data block. This adaptive approach optimizes the balance between compression ratio and data preservation for different regions.
Solution Approach 2:
Different encoding parameters and methods are applied to different blocks of stress data. The system changes the compression parameter set based on local data characteristics, allowing some blocks to be compressed more aggressively while others maintain higher fidelity, thus managing overall memory size while controlling data loss.
Data Source
AI summary
In a method of compressing stress data in a display device, the stress data is divided into block stress data for a pixel block, a plurality of compressed codes are generated by encoding the block stress data in a plurality of encoding modes, it is determined whether the plurality of encoding modes are available encoding modes for the block stress data based on code lengths of the plurality of compressed codes and a number of available bits for the pixel block, a final encoding mode is selected among the available encoding modes based on quantization values of the available encoding modes, and a compressed bitstream for the pixel block is generated based on a compressed code corresponding to the final encoding mode among the plurality of compressed codes.