Fuzzy Logic based Image De-noising and Enhancement for Grayscale Images

A picture is worth a thousand words. Trillions of digital images are used for different purposes in real life every day. Noise can corrupt the images in different ways which results in loss of information. Salt & Pepper is a form of noise which occurs randomly in an image as white and black pixels. Traditionally, median filter is used to remove this kind of noise but it introduces blurring in image which causes loss of small details. In this paper Fuzzy Logic based Adaptive Median Filter (FL-AMF) using MATLAB® is proposed which removes the noise effectively and also preserves small details. By introducing various densities of noise, performance of both filters are compared using PSNR & it is found that FL-AMF gives better results.