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http://dx.doi.org/10.6109/jkiice.2012.16.3.598

A Study on Cascade Filter Algorithm for Random Valued Impulse Noise Elimination  

Yinyu, Gao (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.3, 2012 , pp. 598-604 More about this Journal
Abstract
Image signal is corrupted by various noises in image processing, many studies are being accomplished to restore those images. In this paper, we proposed a cascade filter algorithm for removing random valued impulse noise. The algorithm consists two steps that noise detection and noise elimination. Variance of filtering mask and center pixel variance are calculated for noise detection, and the noise pixel is replaced by estimated value which first apply switching self adaptive weighted median filter and finally processed by modified weight filter. Considering the proposed algorithm only remove noise and preserve the uncorrupted information that the algorithm can not only remove noise well but also preserve edge.
Keywords
Random valued impulse noise; Noise detection; Standard deviation; Edge;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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