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http://dx.doi.org/10.5762/KAIS.2010.11.3.965

New Image Processing Methodology for Noisy-Blurred Images  

Jeon, Woo-Sang (WSConsulting)
Han, Kun-Hee (Division of Information & Communication Engineering, Baekseok University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.3, 2010 , pp. 965-970 More about this Journal
Abstract
In this paper, a iterative image restoration method is proposed to restore for noisy-blurred images. In conventional method, regularization is usually applied to all over the without considering the local characteristics of image. As a result, ringing artifacts appear in edge regions and the noise amplification is introduced in flat regions. To solvethis problem we proposed an adaptive regularization iterative restoration using directional regularization operator considering edges in four directions and the regularization operator with no direction for flat regions. We verified that the proposed methods showed better results in the suppression of the noise amplification in flat regions, and introduced less ringing artifacts in edge regions. As a result it showed visually better image and improved better ISNR further than the conventional methods.
Keywords
Edge Direction Information; Direction of Mask;
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