JFET_V1_N3_RP5 S. Shamila E.S. Shameem Sulthana Journal on Future Engineering and Technology 2230 – 7184 1 3 63 68 Gaussian Noise, Median Filters, Unipolar Crude Fuzzy, fuzzy inferential It introduces a new nonlinear Fuzzy Filter for image processing in a mixed noise environment, where both additive Gaussian noise and non-additive impulsive noise may be present. Averaging filters can effectively remove the Gaussian noise and order statistics Filter or median Filters can effectively remove the impulsive noise. However it is difficult to combine these Filters to remove mixed noise is an image processing environment without blurring the image details or edges. Trying to distinguish between noise and edge information in the image is an inherently ambiguous problem and naturally leads to the development of a Fuzzy Filter. The application of fuzzy techniques in image processing is promising research field. Fuzzy techniques have already been applied in several domains of image processing (like filtering, interpolation, and morphology) we compared our simulations with results obtained by filtering with a Median filter, Adaptive Nonlinear Multivariate (ANM) Filter and Multilevel Adaptive Fuzzy filter. Our filter gave significantly better results in all cases. February - April 2006 Copyright © 2006 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=979