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Image Enhancement Using Adaptive Weighted Sigma Filter  

Hwang, Jae-Ho (Dept. of Electronic Engineering, Hanbat National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.2, 2007 , pp. 19-26 More about this Journal
Abstract
In the sigma filter, there is a specialized neighbours distribution scheme in which the sigma value is computed from local statistics. It is designed to modify a standard average filter to preserve edges. However this filter is vulnerable to details-enhancement and conventional sigma approaches have been focused on denoising, not enhancing the characteristic area. This paper proposes an adaptive image enhancement algorithm using local statistics and functional synthesis which are utilized for adaptive realization of the enhancement, so that not only image noise may be smoothed but also details may be enhanced. For the local adaptation, parameters are estimated and weighted at each moving window that satisfy the criteria. The experimental results illuminates the effectiveness of the proposed method.
Keywords
Image Enhancement; Sigma Filter; Adaptive Image Processing; Local Statistics; Weight;
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