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This paper represents Fuzzy logic based Adaptive Noise filter for real time image processing applications. Initially, the detection is performed using 3x3 scan and then taking a mean of four pixels further scanning is performed. Then histogram approach is applied for improving the image quality, textures and edges. The detection stage will identify the noise pixels. In the second stage of filtering if pixels are noise-free then they are left unprocessed. This filter uses fuzzy reasoning to remove uncertainty present in the information as introduced by the noise. Simulation results outperform salt and pepper noise more than the previous worked filters.