A FUZZY SCHEME FOR IMAGE NOISE REDUCTION

Philippe Vautrot; Michel Herbin; Laurent Hussenet

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Paper

A FUZZY SCHEME FOR IMAGE NOISE REDUCTION

Topics: Fuzzy Image, Speech and Signal Processing, Vision and Multimedia

In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: FCTA, 441-445, 2011 , Paris, France

Authors: Philippe Vautrot ¹ ; Michel Herbin ¹ and Laurent Hussenet ²

Affiliations: ¹ CReSTIC EA 3804 and University of Reims Champagne Ardenne, France ; ² IUT RCC, France

Keyword(s): Image noise reduction, Bilateral filtering, Fuzzy filter.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Image, Speech and Signal Processing, Vision and Multimedia ; Fuzzy Systems ; Soft Computing

Abstract: The improvement of acquisition devices increases the need for processing of multicomponent images. In this context, the noise reduction is a preliminary preprocessing step affecting the results of the other image operations. This paper proposes a framework explaining usual noise reduction methods by the means of two fuzzy logic techniques: first a pixel fuzzification and second a defuzzification for estimating the filtered values. A new density-based filter is built for removing both impulse noise and Gaussian noise. The filter we propose is robust against outliers and it improves the classical bilateral approach for noise reduction of multicomponent images.

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Paper citation in several formats:

Vautrot, P.; Herbin, M. and Hussenet, L. (2011). A FUZZY SCHEME FOR IMAGE NOISE REDUCTION. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA; ISBN 978-989-8425-83-6, SciTePress, pages 441-445. DOI: 10.5220/0003671604410445

@conference{fcta11,
author={Philippe Vautrot. and Michel Herbin. and Laurent Hussenet.},
title={A FUZZY SCHEME FOR IMAGE NOISE REDUCTION},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA},
year={2011},
pages={441-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003671604410445},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA
TI - A FUZZY SCHEME FOR IMAGE NOISE REDUCTION
SN - 978-989-8425-83-6
AU - Vautrot, P.
AU - Herbin, M.
AU - Hussenet, L.
PY - 2011
SP - 441
EP - 445
DO - 10.5220/0003671604410445
PB - SciTePress