Afterimage Detection Device Using Time-Weighted Downscaling
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Solution Overview
Problem
Display devices often experience afterimages when showing static images for extended periods, leading to deteriorated display quality and color shifts due to the persistence of image information.
Innovation Solution
An afterimage detection device that includes a downscaling unit, image accumulation unit, and weight applying unit to detect and mitigate afterimages by adjusting the downscaling ratio and luminance of specific image regions based on a time parameter, improving detection rates and display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the display device displays an image with a fixed image for a considerably long period of time, then the display device can maintain stable image output, but an afterimage occurs and display quality deteriorates
Solution Approach 1:
The patent applies preliminary action by detecting afterimages before they significantly deteriorate display quality. The afterimage detection unit continuously monitors for afterimage formation during fixed image display, and the compensation unit pre-applies correction data to prevent visible afterimage effects before they become problematic
Solution Approach 2:
The patent implements feedback by using the afterimage detection unit to continuously monitor the display panel for afterimage formation. The detection results are fed back to the compensation unit, which generates real-time compensation data to correct detected afterimages, creating a closed-loop system that maintains display quality
2Measurement precision
If the downscaling ratio is increased to improve afterimage detection rate, then detection sensitivity improves, but processing time and computational load increase
Solution Approach 1:
The patent applies segmentation by dividing the image processing into distinct stages: downscaling to reduce resolution, afterimage detection on the downscaled image, and compensation data generation. This segmentation allows efficient processing at different resolution levels, improving detection rate without proportionally increasing total processing time
Solution Approach 2:
The patent extracts the afterimage detection function from full-resolution image processing. By downsampling the image first and detecting afterimages on the reduced-resolution image, the system achieves adequate detection sensitivity with significantly reduced computational load and processing time compared to analyzing full-resolution images
3Measurement precision
If the downscaling weight is applied to the region of interest to improve afterimage detection, then detection accuracy improves, but the complexity of image processing increases
Solution Approach 1:
The patent applies local quality by using downscaling weights that differentiate processing for different image regions. The weight applying unit assigns different downscaling weights to regions of interest (where afterimages are more likely to occur) versus general regions, improving detection accuracy in critical areas while maintaining simpler processing elsewhere
Data Source
AI summary
An afterimage detection device includes a downscaling unit, an image accumulation unit, an afterimage detection unit and a weight applying unit. The downscaling unit downscales at least one input image at a preset ratio. The image accumulation unit receives at least one downscale image from the downscaling unit and accumulates the at least one downscale image. The afterimage detection unit detects an afterimage from an accumulated downscale image obtained by the image accumulation unit and generates afterimage information. The weight applying unit receives the afterimage information, calculates a downscaling weight of a region of interest including the afterimage in the input image based on a time parameter, and provides the downscaling weight to the downscaling unit. The weight applying unit may also or instead calculate and provide a luminance weight based on the time parameter.


