Fuzzy Logic Based Filtering for Image De-noising

Image filtering is a key technology in image processing applications for de-noising corrupted images. Digital images are often polluted by noise during capturing and hence they may not show the features or colors clearly. Image filtering removes the noise in an image and improves the contrast to provide better input for various image processing applications. This paper proposes an efficient image filtering technique using fuzzy logic. The proposed method employs fuzzy membership functions in order to replace the noisy pixels based on the degree of membership of the neighboring pixels within a filter mask. Experimental results confirm that our method is very effective and fast for removing impulsive noise while preserving the small and sharp details in the image.