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The proposed work is defined as Fuzzy Logic Based Adaptive Noise Filter for Real Time Image Processing Applications. In this proposed work, Adaptive Filter is designed for removal of salt-and-pepper (impulse) noise. The proposed filter is a three stage filter, where initially it will perform the salt-and-pepper noise intensities detection. When a noise pixel is identified, it is subjected to the next filtering stage. Otherwise, when a pixel is classified as noise-free, it will be retained as it is and the filtering action is spared to avoid altering any fine image details and textures that are contained in the original image. Initially, the detection is performed using 3 3 scan and then by 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. The pixels that are noise-free are left unprocessed and the noise pixels are passed on to the second stage of filtering for further processing. This filter uses fuzzy reasoning to remove uncertainty present in the information as introduced by the noise. Thus, better results are obtained timely.