Comparative study of different denoising techniques on Brain NCCT images

Abstract

Medical images often get affected by noise and artifacts while acquisition techniques or patient’s movement. Some time radiologists unable to make useful and accurate conclusion from noisy images. The main aim of this study is to conduct a comparative measure of various denoising techniques such as Gaussian filter, Median filter, Bilateral filter, Non-Local Mean filter(NLM), Total Variation (TV) Anisotropic Diffusion (AD), BM3D method, on brain NCCT(Non-Contrast computed tomography) images. The prime focus of this research is to make comparative analysis of these techniques not merely to remove but also to preserve edges of brain NCCT images. The experimental results present that BM3D shows the best performance in terms of PSNR value, followed by total variation method and anisotropic diffusion method in terms of removal of noise. However marginal loss of edges and other fine details are there.