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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.1.1

Adaptive Image Restoration Considering the Edge Direction  

Jeon, Woo-Sang (중소기업기술정보진흥원 정보화경영체제)
Lee, Myung-Sub (영남이공대학 컴퓨터정보계열)
Jang, Ho (구미1대학 컴퓨터)
Publication Information
The KIPS Transactions:PartB / v.16B, no.1, 2009 , pp. 1-6 More about this Journal
Abstract
It is very difficult to restore the images degraded by motion blur and additive noise. In conventional methods, regularization usually applies to all the images without considering local characteristics of the images. As a result, ringing artifacts appear in the edge regions and noise amplification is in the flat regions, as well. To solve these problems, we propose an adaptive iterative regularization method, using the way of regularization operator considering edge directions. In addition, we suggest an adaptive regularization parameter and an relaxation parameter. In conclusion, We have verified that the new method shows the suppression of the noise amplification in the flat regions, also does less ringing artifacts in the edge regions. Furthermore, it offers better images and improves the quality of ISNR, comparing with those of conventional methods.
Keywords
Image Restoration; Direction; Ringing Artifacts; Noise Amplification; Regularization Operator;
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