Impulse noise detection and reduction using fuzzy logic and median heuristic filter

In this paper we proposed a new technique for detects and removes impulse noise in grayscale digital images. Proposed method work in two steps, in first step we detect noisy pixels using fuzzy reasoning with lowest uncertainty, and in second step we replace noisy pixels with a heuristic median filter, our heuristic median's filter is combined with human knowledge for select best replacement. We analysis this method with PSNR (Pick Signal Noise Ratio) metric and visual comparison, the results show this method is very good for noise reduction and image restoration in high level noisy images.