FUZZY FILTER DESIGN FOR NOISE REMOVAL IN COLOR IMAGE USING WAVELET

Abstract

The focus of this project is removal of various types of noise present in color images. We have used two type of concepts namely fuzzy filtering and filters based on wavelet. Fuzzy filter system combines the outputs of several filters at any one time. It is observed that different objective function associated with a filter yields differing capability in the filtering. Hence the objective functions were divided into 2 types: multiplicative type and summation type. we present several filter combinations and show that the each filter combination, which consists of filters from both types, is effective in reducing Gaussian type and impulse noises. The outputs of filters are combined depending upon the value of pixel compatibility, which is computed from the gray-level differences between the central pixel and its neighbors. Wavelet based filter utilizes a new differentiable thresholding function for image denoising in the wavelet domain. Next, function is used in a new subband-adaptiv...