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Effective Noise Suppression in Edge Region Using Modified Wiener Filter  

Song Young-Chul (경북대 공대 전자공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.52, no.3, 2003 , pp. 173-180 More about this Journal
Abstract
The modified Wiener filtering method is proposed for effective noise suppression in edge region of images corrupted by additive white gaussian noise. Although the pixels classified as a edge region in the conventional Wiener filter have lots of noise components, the conventional Wiener filler cannot remove noise effectively due to the preserving of edges. To reduce noise well in edge region, we modify filter coefficients of the conventional Wiener filter The modified filter coefficients increase in noise suppression effect In edge region, while they preserve edges for strong edge region. From simulation $(256{\time}256$ size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with some improved peak signal-to-noise ratio compared to those by the conventional Wiener filtering.
Keywords
Wiener filter; noise suppression; edge region; resolution enhancement;
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