Enhancement and Removal of Noise from Medical Images by Wavelet Transform Method

The medical images are often received in poor visibility qualities and conditions due to various factors such as poor scanning and transmission. As a result, it ends up with complexity in upcoming procedure to read and understand such images. This research paper gives a novel methodology based on wavelet transform to de-noise a given medical image even if a very high noise is present. The image noises are detected with information available in the surroundings and then removed accordingly. The proposed algorithm has been executed in MATLAB with original medical images that are contaminated by noise. The computer testing results on test medical images has given an improved image quality in terms of entropy and standard deviation. This de-noising of medical images yields in improved visibility and may help in accurate disease detection.