Removal of mixed noise on color image processing by using fuzzy rules
Akira Taguchi, Takashi Hamada · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.