Removal of mixed noise on color image processing by using fuzzy rules

Akira Taguchi; Takashi Hamada

doi:10.1117/12.379389

3 March 2000 Removal of mixed noise on color image processing by using fuzzy rules

Akira Taguchi, Takashi Hamada

Proceedings Volume 3961, Nonlinear Image Processing XI; (2000) https://doi.org/10.1117/12.379389
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Akira Taguchi and Takashi Hamada "Removal of mixed noise on color image processing by using fuzzy rules", Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); https://doi.org/10.1117/12.379389

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