Stabilized Anisotropic Diffusions

• Published in: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 1; pp. I-709 - I-712
• Main Authors: Sum, A. K. W., Cheung, P. Y. S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-04-2007
• Subjects: Adaptive filters; Anisotropic diffusion; Anisotropic magnetoresistance; Degradation; Diffusion processes; Image enhancement; Iterative algorithms; Nonlinear filters; partial differential equation; Partial differential equations; Signal processing; signal restoration; Smoothing methods; total variation
• ISBN: 9781424407279; 1424407273
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2007.366006

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.