An Enhanced Mixed Noise Removal Technique for Color Images Using Fuzzy Logic

Removing mixed noise from digital images is a challenging problem as it involves processing of various types of noise. Additionally, noises should be differentiated from inherent image structures. Fuzzy logic is a successful solution in this situation. In this paper, we propose a novel fuzzy technique to reduce mixed ImpulseGaussian noise from color images. A weighted averaging process is used in this regard. The weights are computed using a fuzzy rule system which operates on an improved certainty function. This method performs effectively in reducing both the noise types and in preserving image details. The simulation experiments demonstrated that the method outperforms state-of-the-art filter.