Display Pixel Deterioration Compensation Using Grayscale Efficiency Weights
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Solution Overview
Problem
Existing display technologies face challenges in accurately compensating for the deterioration of light emitting elements and driving transistors in display panels, leading to inconsistent luminance over time, as the efficiency of pixels varies with grayscale and position.
Innovation Solution
A display device and method that includes a deterioration compensator generating input deterioration data by reflecting efficiency, position, and temperature weights on input data, accumulating this data to generate correction data, and using a timing controller to compensate for pixel deterioration by adjusting output data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data accumulation method is used to compensate for pixel deterioration, then compensation is performed, but accurate compensation cannot be achieved because efficiency corresponding to grayscale is not reflected
Solution Approach 1:
The patent introduces efficiency weights as a new parameter that varies with grayscale levels. Instead of using a single fixed deterioration compensation value, the system dynamically adjusts the compensation based on the grayscale intensity, recognizing that pixel efficiency changes across different brightness levels. This parameter change enables accurate compensation by accounting for the non-linear relationship between drive current and luminance at different grayscales.
Solution Approach 2:
The deterioration compensation mechanism is made dynamic by incorporating grayscale-dependent efficiency weights. The compensation values are no longer static but adapt in real-time based on the current grayscale level being displayed. This dynamic adjustment allows the system to respond to changing display conditions and maintain accurate luminance compensation across the full range of grayscale values.
2Device complexity
If simple data accumulation is used for deterioration compensation, then the compensation process is simple, but it does not account for efficiency differences across pixels and grayscales
Solution Approach 1:
The patent segments the deterioration compensation process into multiple independent components: position-based deterioration data, grayscale-based efficiency weights, and temperature-based correction factors. Each component can be calculated and stored separately, then combined during the final compensation process. This segmentation allows for more accurate compensation while keeping the implementation manageable by breaking down the complex task into smaller, independent modules.
Solution Approach 2:
The system performs preliminary measurements and calculations during the manufacturing process to establish position-specific deterioration data and efficiency weight characteristics. These pre-characterized parameters are stored in lookup tables or databases, allowing the actual compensation process during operation to be simplified to mainly retrieval and application of pre-computed values, rather than performing complex real-time measurements.
3Measurement precision
If efficiency weights are stored for each pixel and grayscale, then compensation accuracy improves, but memory requirements increase
Solution Approach 1:
The patent applies local quality by storing efficiency weights at the pixel-level for each grayscale level. Instead of using a single global efficiency value, each pixel has its own efficiency weight characteristics stored in association with the grayscale levels it displays. This localized storage approach enables accurate compensation for each pixel's specific characteristics while maintaining manageable memory usage by storing only the necessary efficiency parameters rather than complete pixel data.
Solution Approach 2:
The system manages memory requirements by organizing efficiency weights in a multi-dimensional structure that maps grayscale levels to efficiency characteristics. Rather than storing complete pixel data for all conditions, the system uses a compressed representation where efficiency weights are indexed by grayscale level and position, creating a compact data structure that reduces storage needs while maintaining the necessary detail for accurate compensation.
Data Source
AI summary
A display device includes: a display unit including pixels; a deterioration compensator configured to generate input deterioration data by reflecting weights on input data and configured to generate correction data using accumulated deterioration data generated by accumulating the input deterioration data; and a timing controller configured to generate output data by reflecting the correction data to the input data, wherein the weights include an efficiency weight, and the efficiency weight corresponds to efficiency of the pixels corresponding to each of grayscales.