This study presents a novel approach of image denoising for medical images. Since, for medical diagnosis, action of object extraction plays a vital role but such jobs are limited with the visual observation and there is no denying from the fact that the medical images are subjected to noise which makes it difficult for the medical practitioner to extract features from such noisy images. Therefore, for accurate decisions it is required that such images should be free from noise. But coming up with a denoising algorithm is pretty strainful, since fine details in relevance with the diagnostic information should not be destroyed during the process of noise removal. Hence, in the study we addressed the solution of this problem with the novel technique to the visual quality of medical images. Keywords: Fuzzy-neural logic, denoising image, medical application
