AMOLED Image Sticking Detection via Block Frame Analysis
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Solution Overview
Problem
Active matrix organic light-emitting diode (AMOLED) panels face rapid aging and image sticking issues due to material limitations, with existing technologies failing to accurately determine when image sticking is likely to occur.
Innovation Solution
A method and device that acquire and divide display frames into blocks, judging the possibility of image sticking by identifying identical or similar image information across consecutive frames, with mechanisms to adjust display settings such as shifting image position or reducing brightness when sticking is predicted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If display frames are monitored continuously to detect image sticking, then image sticking prevention accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The display screen is divided into multiple blocks, and image information is compared block by block across consecutive frames. This segmentation allows the system to efficiently detect potential image sticking areas without processing the entire display frame at once, thus maintaining detection accuracy while reducing processing time.
Solution Approach 2:
The system performs preliminary detection by comparing image information in current and previous frames to identify blocks with identical or similar content. By detecting potential image sticking early through frame comparison, the system can trigger prevention mechanisms before permanent damage occurs, improving detection accuracy without requiring continuous full-frame processing.
2Reliability
If prevention mechanisms are executed frequently to prevent image sticking, then display reliability is improved, but user experience and display quality may deteriorate
Solution Approach 1:
The system applies preliminary anti-action by shifting the display content or adjusting brightness before actual image sticking occurs. By detecting potential sticking areas through frame comparison and proactively adjusting those specific blocks, the system prevents damage while minimizing disruption to the overall display quality and user experience.
Solution Approach 2:
Instead of applying prevention mechanisms globally, the system identifies specific blocks with potential image sticking issues and applies adjustments only to those local areas. This localized approach maintains display reliability by preventing sticking where needed while preserving overall display quality and user experience in unaffected areas.
Data Source
AI summary
The present disclosure provides a method and a device for reducing image sticking and a display device. The method includes sequentially acquiring a plurality of display frames from a display device; dividing each of the plurality of display frames into a plurality of blocks; and judging that there is a possibility of image sticking when blocks having identical or similar image information are included at an identical position in X consecutive display frames, wherein X is a positive integer greater than or equal to 2.