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http://dx.doi.org/10.6109/jkiice.2007.11.3.471

The performance Evaluation of SA filters for images corrupted by mixed noise  

Song, Jong-Kwan (경성대학교 전기전자.메카트로닉스공학부)
Abstract
The SA fillers encompass a large class of filters based on order statistics as veil as linear FIR filters. Using SA later structure, it is possible to design linear and non-linear filters under a unified framework. In this paper SA filters are applied to an image smoothing problem for mixed noise. Original image is contaminated by Gaussian and impulsive noise. Optimal SA filters are designed and applied to contaminated image. The experimental result shows that SA filters outperform linear FIR and ordering-based nonlinear filters.
Keywords
SA filters; LWOS filters; ETBF; median filters; nonlinear filters; mixed noise; optimization;
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Times Cited By KSCI : 1  (Citation Analysis)
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