A new concept of reduction of Gaussian noise in images based on fuzzy logic

Image filtering is a technique to preserve important signal elements such as edges,smoothing the details of the image to make images appear clear and sharpener. Amongall the non linear concepts to suppress Gaussian noise,the fuzzy logic based approachesare important as they are cabable of reasoning with vague and uncertain informations. Inthis study, we present a new method for the noise reduction of images contaminated withGaussian noise by using fuzzy image filter with the help of fuzzy rules which make useof membership functions. In this article, fuzzy derivative concept is also applied toperform fuzzy smoothing. This method provides better input for further image processingtechniques and also it increases the contrast of the images, fine details and sharpening theedges as well. In this study, comparison is also made with the existing noise reductionmethods by numerical measures and visual inspection.