Application Processor Scaling Pixel Degradation in OLED Displays
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Solution Overview
Problem
Organic light emitting display devices face limitations in compensating pixel degradation due to a fixed range of grayscale values, leading to insufficient or inaccurate compensation when pixel degradation is significant.
Innovation Solution
An application processor is introduced that calculates a scaling rate based on pixel degradation information using a look-up table, reducing the maximum grayscale value of image data to ensure a sufficient compensation margin, thereby effectively addressing pixel degradation across all pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pixel degradation compensation is performed using fixed grayscale values, then the compensation process is simple, but the compensation margin is limited and insufficient for high levels of pixel degradation
Solution Approach 1:
The application processor performs preliminary scaling of image data before it reaches the display panel. By calculating a scaling rate based on pixel degradation information and pre-scaling the image data accordingly, the system ensures that sufficient compensation margin is available in the grayscale values. This preliminary action prevents compensation overflow and maintains accuracy without requiring complex real-time adjustments during display operation.
Solution Approach 2:
The application processor acts as an intermediary between the image source and the display panel. It receives original image data, applies scaling based on degradation information, and outputs adjusted image data with optimized grayscale values. This intermediary processing layer enables accurate compensation while maintaining system simplicity by handling the complexity in a dedicated preprocessing stage.
2Reliability
If the maximum grayscale value is reduced to ensure compensation margin, then pixel degradation compensation is sufficient, but the image brightness range is limited
Solution Approach 1:
The system dynamically changes the grayscale parameter range based on pixel degradation levels. By calculating an appropriate scaling rate and adjusting the maximum grayscale value accordingly, the system optimizes the balance between compensation margin and brightness. The scaling rate is determined through lookup tables or calculations that consider both degradation information and brightness requirements, ensuring sufficient compensation while maintaining acceptable image quality.
Data Source
AI summary
An application processor includes a scaling rate calculator that determines a scaling rate of first image data based on stress data that includes pixel degradation information for each pixel; and an image processor that generates second image data by decreasing a maximum grayscale value of the first image data based on the scaling rate, where the first image data is received from an external component.