Hybrid sigma filter for processing images corrupted by multiplicative noise

Authors:
Nikolay Ponomarenko;Vladimir Lukin;Karen Egiazarian;Jaakko Astola;Benoit Vozel;Kacem Chehdi
Affiliations:
Dept of Transmitters, Receivers and Signal Processing, National Aerospace University, Kharkov, Ukraine;Dept of Transmitters, Receivers and Signal Processing, National Aerospace University, Kharkov, Ukraine;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;IETR-TSI2M, UMR 6164 CNRS, University of Rennes I, Lannion, France;IETR-TSI2M, UMR 6164 CNRS, University of Rennes I, Lannion, France
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

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Abstract

A standard sigma filter proposed by J.-S. Lee has found wide applications and frequent implementations in software packages. Later, several modifications have been introduced in order to improve its performance. In this paper we propose some new modifications trying to combine advantages of the original sigma and local statistic Lee filter as well as to ensure the filter robustness with respect to impulse noise. The basic performance characteristics of the proposed hybrid sigma filter are studied for cases of pure multiplicative noise. The comparison to some other well known filters is performed. A real life example of the designed filter application to side-look radar image is given.