An Analysis of Different Noise Removal Techniques in Medical Images

Abstract

In medical application like diagnosis of diseases, image processing plays crucial role. The process of segmenting the medical images is followed by careful analyzation to detect the ailments ranging from minor to serious. The presence of noise hinders the accurate diagnosis, and denoising becomes important part of image processing in medical images. The denoising approach can be built upon understanding the noise models and using denoising algorithm accordingly. This research aims at studying different medical images, noises and noise removal methods followed by experimental and comparative analysis of the prominent ones.