Medical Image Denoising Based on Improved Anisotropic Diffusion

Abstract

This thesis is directed to the most valuable work is the improved algorithms about classical Perona filter, which preserve the image edges more effectively. It is also used to AOS(addictive operator splitting) scheme in anisotropic diffusion equation to improve the competence of edges preservation and achieve region smooth effect. The results of experiments show all improved algorithms have more better performance than unimproved and they fit the needs of medical image denoising. In total, anisotropic diffusion filtering have the best performance. All the methods related in this paper enhance application of digital filter technology and have theoretic and practical meaning.