Medical images are most commonly corrupted by various types of noises during the process of image acquisition and transmission. It is very important to get precise images to obtain exact information for the particular application. Removal of Noise from medical images is remarkably hard without knowing the prior information of noise types, causes, and removal procedures. This becomes the main reason to analyze the various noises removing process. Until now numerous researchers have working to remove noise using spatial, adaptive and fuzzy filtering approaches. This paper presents a study of various denoising procedures available in the literature.
