Image Processor Segmentation for Display Afterimage Prevention
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Solution Overview
Problem
Display devices experience afterimages when showing the same image for a long time, leading to poor display quality due to pixel feature changes and misclassification of background and text in image signals.
Innovation Solution
An image processor with segmentation, class classification, and correction processing parts using deep neural networks to classify and correct image signals, preventing afterimages by distinguishing background and text and adjusting data signals accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the same image is displayed on the display device for a long time, then the pixel feature changes occur, but afterimage appears in which a previous image affects a next image
Solution Approach 1:
The patent applies preliminary action by performing image segmentation and classification before the actual display occurs. The segmentation processing part divides the image into background and text regions in advance, and the correction processing part adjusts the segmentation results before data signal output, preventing afterimage effects from occurring during prolonged display
2Measurement precision
If segmentation processing is performed to classify background and text, then image processing accuracy is improved, but device complexity increases due to multiple processing parts
Solution Approach 1:
The patent merges multiple processing functions into an integrated image processor. The segmentation processing part, class classification processing part, correction processing part, and data signal output part are combined in a single processor unit, allowing complex image analysis functions to be implemented without requiring separate external devices for each processing stage
Data Source
AI summary
Disclosed is an image processor of a display device including a segmentation processing module classifying a background and a text of an image signal and outputting a segmentation signal, a class classification processing module outputting a class signal based on the segmentation signal, a memory storing broadcast information signals, a correction processing module correcting an image signal based on the segmentation signal and a broadcast information signal corresponding to the class signal among the broadcast information signals and outputting a correction segmentation signal, and a data signal output module preventing an afterimage of the image signal based on the correction segmentation signal and outputting a data signal.