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Proceedings Paper

Novel detail-preserving robust filter for multiplicative and additive noise suppression in image processing
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Paper Abstract

In this paper, we present a robust image filter that provides preservation of fine details and effective suppression of intensive multiplicative noise. The filter is based on the use of M (robust maximum likelihood)-estimators and R(rank)-estimators derived from the statistical theory of rank tests. At the first stage, to provide impulsive noise rejection, the introduced image filters uses the central pixel of the filtering window and the redescending M-estimators combined with the median estimator. At the second stage, to provide multiplicative noise suppression, a modified Sigma filter that implements the calculation scheme of a redescending M-estimator, is used. Visual and analytical analysis of simulation results shows that the proposed image filter has demonstrated fine detail preservation, good multiplicative noise suppression and impulsive noise removal.

Paper Details

Date Published: 29 June 2000
PDF: 8 pages
Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390482
Show Author Affiliations
Volodymyr I. Ponomaryov, Instituto Politecnico Nacional (Mexico)
Luis Nino de Rivera, Instituto Politecnico Nacional (Mexico)
Francisco J. Gallegos Funes, Instituto Politecnico Nacional (Mexico)
Oleksiy B. Pogrebnyak, Instituto Politecnico Nacional (Mexico)

Published in SPIE Proceedings Vol. 4041:
Visual Information Processing IX
Stephen K. Park; Zia-ur Rahman, Editor(s)

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