IMAGE

Abstract — Key objective of this paper is to process a medical image so that the result is more suitable than the original image for a medical application. This is achieved by applying range compression, contrast stretching, histogram equalization, noise smoothing algorithms. Digital Medical images are often affected by unwanted noise, blurriness and suffer from lack of contrast and sharpness which sometimes results in false diagnosis. Our paper emphasis on eliminating these problems there by makes the diagnosis easy