Stabilized Anisotropic Diffusions

Abstract

Anisotropic diffusion is an iterative process which provides efficient signal smoothing with feature preserving capabilities. However, the traditional anisotropic diffusion algorithms are highly sensitive to the number of iterations. In this paper, we introduce a novel method in the diffusion formulations to stabilize the diffusion results. It is generally applicable to most of the anisotropic diffusion algorithms, and the experimental results show that the stabilized algorithms provide improved results.