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Proceedings Paper

Removal of mixed noise on color image processing by using fuzzy rules
Author(s): Akira Taguchi; Takashi Hamada
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Paper Abstract

We have proposed fuzzy filters in order to remove additive non-impulsive noise (e.g., Gaussian noise) while preserving signal details. In this paper, we propose a novel fuzzy filter for removing mixed noise (i.e., Guassian noise and impulse noise are mixed). Furthermore, we apply the proposed method to color image processing. In order to remove mixed noise efficiently, we set fuzzy rules by using multiple difference values between arbitrary two pixels in a filter window. We show tuning result of the proposed fuzzy filter and present some simulation results.

Paper Details

Date Published: 3 March 2000
PDF: 7 pages
Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); doi: 10.1117/12.379389
Show Author Affiliations
Akira Taguchi, Musashi Institute of Technology (Japan)
Takashi Hamada, Musashi Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 3961:
Nonlinear Image Processing XI
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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