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Reduction of Dynamic False Contours based on Gray Level Selection method in PDP  

Ahn Sang-Jun (삼성전자)
Eo Yoon-Phil (서울대학교 전기컴퓨터 공학부 신호처리 연구실)
Lee Sang-Uk (서울대학교 전기컴퓨터 공학부 신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.30, no.7C, 2005 , pp. 716-725 More about this Journal
Abstract
In this paper, we propose a new approach for the reduction of the dynamic false contours, which detects and compensates false contour artifacts adaptively. First, we develop a simple but effective method to select the pixels that are likely to cause the motion artifacts, based on the distribution of pixel values. Then, we merge the selected pixels into several regions using tree structure. Next, we reduce number of gray levels within the regions slightly to reduce the false contours. Note that reducing number of gray levels yield the distortion, thus it is applied only to the selected regions, instead of the whole picture. Intensive simulations on real moving image show that the proposed algorithm alleviates the dynamic false contours effectively with tolerable computational complexity.
Keywords
PDP; Dynamic false contour; Error diffusion; Gray level selection;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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