Image Sticking Prevention in Display Devices
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Solution Overview
Problem
Display devices face issues with image sticking, where static images such as logos or clocks remain visible after changing content, leading to reduced display quality and image persistence.
Innovation Solution
An image processor is integrated into the display device, comprising an image sticking object detector, a post-processor, and an image sticking prevention part. The detector classifies input image data into classes, and the post-processor calculates and corrects inference data to prevent image sticking by adjusting display positions or grayscale levels based on accumulated inference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data is displayed directly without processing, then display speed is fast, but image sticking occurs on static images
Solution Approach 1:
The system performs preliminary classification of image data into static and dynamic regions before display. By identifying static image portions in advance and applying specific processing only to those regions, the system prevents image sticking without requiring complex processing of the entire image, thus resolving the contradiction between reliability and device complexity.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image. Static regions undergo accumulation and correction processing to prevent image sticking, while dynamic regions are displayed normally. This localized approach improves image sticking prevention effectiveness without unnecessarily increasing overall processing complexity.
2Reliability
If accumulation processing is applied to all image data, then image sticking prevention is improved, but processing time increases
Solution Approach 1:
The image data is segmented into static and dynamic regions through classification processing. Accumulation processing is applied only to the static region portion, while dynamic regions are processed and displayed without accumulation. This segmentation significantly reduces the amount of data requiring time-consuming accumulation processing, thereby preventing image sticking while minimizing processing time loss.
Solution Approach 2:
Instead of applying accumulation processing to all image data (excessive action), the system applies it only to the necessary static regions (partial action). This selective approach achieves sufficient image sticking prevention for static content while avoiding the time penalty of processing entire frames, thus resolving the time versus reliability contradiction.
Data Source
AI summary
An image processor of a display device includes: an image sticking object detector which classifies a class of an input image data and outputs inference data including image sticking object information based on the classified class; a memory which stores previous inference data; a post-processor which calculates accumulative inference data, based on the inference data and the previous inference data received from the memory and generates corrected inference data, based on the accumulative inference data; and an image sticking prevention part which outputs an image data subjected to an image sticking prevention process, based on the corrected inference data.