A new fuzzy impulse noise detection method for colour images

Authors:
Samuel Morillas;Stefan Schulte;Etienne E. Kerre;Guillermo Peris-Fajarnés
Affiliations:
Technical University of Valencia, Grao de Gandia, Spain;Ghent University, Department of Applied Mathematics and Computer Science, Gent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Gent, Belgium;Technical University of Valencia, Grao de Gandia, Spain
Venue:
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Year:
2007

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Abstract

This paper focuses on fuzzy image denoising techniques. In particular, we develop a new fuzzy impulse noise detection method. The main difference between the proposed method and other state-of-the-art methods is the usage of the colour components for the impulse noise detection method that are used in a more appropriate manner. The idea is to detect all noisy colour components by observing the similarity between (i) the neighbours in the same colour band and (ii) the colour components of the two other colour bands. Numerical and visual results illustrate that the proposed detection method can be used for an effective noise reduction method.