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Iterative Image Restoration using Adaptive Directional Regularization  

Kim, Yong-Hun (영남대학교 전산공학과)
Shin, Hyoun-Jin (영남대학교 의료공학연구소)
Yi, Tai-Hong (영남대학교 전자정보공학부)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.10, 2006 , pp. 862-867 More about this Journal
Abstract
To restore image degraded by blur and additive noise in the optical and electrical system, a regularized iterative restoration is used. A regularization operator is usually applied to all over the image without considering the local characteristics of image in conventional method. As a result, ringing artifacts appear in edge regions and the noise is amplified in flat regions. To solve these problems we propose an adaptive regularization iterative restoration considering the characteristic of edge and flat regions using directional regularization operator. Experimental results show that the proposed method suppresses the noise amplification in flat regions, and restores the edge more sharply in edge regions.
Keywords
Image restoration; Iterative regularization restoration;
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