Summary: FAST AUTOMATED STOPPING-TIME AND EDGE-STRENGTH ESTIMATION
FOR ANISOTROPIC DIFFUSION
Eva Rifkah and Aishy Amer, Senior member, IEEE
Concordia University, Electrical and Computer Engineering, MontrŽeal, QuŽebec, Canada.
Anisotropic diffusion (ATD) is an edge-oriented, scale-space
based, and iterative image-smoothing process. Two main chal-
lenges of ATD are how to automatically stop the iterative pro-
cess, so to avoid blurring, and how to determine the scale
(or edge-strength) parameter, so to best differentiate between
edge and noise. In this paper, we propose 1) an automatic
noise-adaptive stopping-time estimator and 2) a robust scale
parameter (or edge strength) estimator. With these two novel
estimators, our adaptive ATD method effectively reduces noise
(high PSNR gain) and preserves structures (significantly less
blurring) than conventional ATD.
Index Terms-- Denoising, anisotropic diffusion, stopping-
time estimation, edge-strength, edge preservation.
Anisotropic diffusion (ATD) [1, 2, 3] has become a widely