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Adaptive Median Filter by Local Variance and Local Central Variance  

조우연 (공주대학교 정보통신공학부)
최두일 (공주대학교 전기전자정보공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 285-294 More about this Journal
Abstract
Median Filters in the Signal Processing have been most widely used and have demonstrated the most strongest effects. This paper proposes the Adaptive Median Filters by using noise detection. The basic algorithm of the proposed filters is to determine whether noise or not by the each noise judgement standards, and then take the Median Filter if it satisfies the conditions as a result of judgement and returns to the original image(No Filters) if not. This paper presented Noise Detection by Local Variance and Local Central Variance for noise judgement, compared and analyzed the features and performance of existing [5]∼[10] Filters. Filter improved on the result of executing the existing filters at the same condition and showed the effects over that when it was judged with naked eyes. Accordingly, the Adaptive Median Filters by Local Variance and Local Central Variance was proven to have reinforced edge preservation ability and have the strong features for removing the Impulse Noise of the Median Filter.
Keywords
Digital Signal Processing; Median Filters; Adaptive Median Filters; Weight Median Filters; Local Central Variance;
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