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Proceedings Paper

Method for impulsive noise detection and its applications to the improvement of impulsive noise-filtering algorithms
Author(s): Igor N. Aizenberg; Taras Bregin; Dmitriy Paliy
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Paper Abstract

A new approach to impulsive noise filtering is considered in the paper. It is known that the median filter is a sliding window filter, with a window N X N. As it is known, the impulsive noise is a 'big' and unusual jump of brightness. So if the central pixel in the window is noisy, its value belongs to one of the ends of the variation representation of the local histogram. We analyze, where the value of central pixel of the window is positioned in the variation series. If it is positioned close to the boarders, we can assume that it is an impulsive corruption and it must be filtered. This kind of analysis could be used for the improvement of many filters: median, rank-order, cellular neural, etc. So, implementing such kind of preliminary noise detection, we achieve the good results. Filters became gentler and less destructive for the image, but steel very effective.

Paper Details

Date Published: 22 May 2002
PDF: 11 pages
Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); doi: 10.1117/12.467982
Show Author Affiliations
Igor N. Aizenberg, Neural Networks Technologies Ltd. (Israel)
Taras Bregin, Neural Networks Technologies Ltd. (Israel)
Dmitriy Paliy, NeuroTechnologies (Finland)

Published in SPIE Proceedings Vol. 4667:
Image Processing: Algorithms and Systems
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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