A novel histogram based fuzzy impulse noise restoration method for colour images

Authors:
Stefan Schulte;Valérie De Witte;Mike Nachtegael;Dietrich Van der Weken;Etienne E. Kerre
Affiliations:
Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Ghent University, Gent, Belgium
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

In this paper, we present a new restoration technique for colour images. This technique is developed for restoring colour images that are corrupted with impulse noise. The estimated histograms for the colour component differences (red-green, red-blue and green-blue) are used to construct fuzzy sets. Those fuzzy sets are then incorporated in a fuzzy rule based system in order to filter out the impulse noise. Experiments finally show the shortcomings of the conventional methods in contrast to the proposed method.