OLED Degradation Compensator Using Block-Level Stress Matrix Error Correction
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Solution Overview
Problem
Organic light emitting diode (OLED) display devices experience image sticking due to degradation of pixel circuits, which is exacerbated by strong and consistent current, leading to errors in the stress matrix that distort luminance, particularly in low-frequency components.
Innovation Solution
A degradation compensator system comprising a compressor, non-volatile memory, updater, error corrector, restorer, and internal compensator that generates and corrects block-level compression stress matrices to reduce errors and prevent their accumulation, using error-correction encoding and cyclic redundancy checks to ensure accurate compensation of input signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the stress matrix is compressed and accumulated to reduce storage requirements, then storage efficiency is improved, but errors in low-frequency components occur leading to luminance distortion
Solution Approach 1:
The stress matrix is divided into multiple blocks, where each block is processed and compressed independently. This segmentation allows selective application of compression techniques to different regions, preserving important low-frequency components while achieving overall storage reduction.
Solution Approach 2:
Different compression parameters and error correction intensities are applied based on the frequency characteristics of each block. Low-frequency blocks receive higher protection levels while high-frequency blocks use more aggressive compression, optimizing both accuracy and storage efficiency.
2Reliability
If error-correction encoding is applied to all elements of the stress matrix with high intensity, then reliability is improved, but device complexity increases
Solution Approach 1:
Different error correction intensities are applied to different elements of the stress matrix based on their importance. Low-frequency elements that have greater impact on luminance accuracy receive stronger error correction encoding, while high-frequency elements receive lighter encoding, reducing overall system complexity.
Solution Approach 2:
Instead of applying uniform error correction to all elements, the system applies partial error correction only to the most critical low-frequency components. This partial action approach achieves sufficient reliability for the most important parameters while minimizing the complexity overhead.
Data Source
AI summary
Degradation compensator includes a compressor which generates a block-level compression stress matrix (“BCSM”) representing a degradation level of a block included in a frame by R, G, and B input signals of the block, an updater update a frame-level accumulated compression stress matrix (“FACSM”) by adding the BCSM, an error corrector which executes error-correction encoding to elements of a block-level accumulated compression stress matrix (“BACSM”) included in the FACSM, writes encoded elements as a storage data of a non-volatile memory device when a power supply is stopped, executes error-correction decoding to the storage data and writes the decoded storage data as the FACSM of the volatile memory when the power supply is started, a restorer which generates a block-level accumulated stress matrix (“BASM”), and an internal compensator which generates compensated R, G, and B output signals.