A simple fuzzy method to remove mixed Gaussian-Impulsive noise from colour images

The project introduces a Fuzzy Based Weighted Vector Median Filter (FWMF) model to detect and eliminate the salt noise, pepper noise, Gaussian Mixed Impulsive noise. The mixed noises are applied to gray scale images and colour images. Through fuzzy logic methodology, the noises are detected and eliminated. Mixed impulsive and Gaussian noise reduction from digital color images is a challenging task because it is necessary to appropriately process both types of noise, that in turn need to be distinguished from the original image structures such as edges and details. Fuzzy theory is useful to build simple, efficient and effective solutions for this problem. In this paper, which proposes a fuzzy method to reduce Gaussian and impulsive noise from color images, uses one only filtering operation: a weighted Median. A fuzzy rule system is used to assign the weights so that both noise types are reduced and image structures are preserved. Experimental results should show the efficiency of the proposed fuzzy method, providing competitive results.