Walid Ibrahim and Mahmoud R. El-Sakka, "Coefficient-tracking
Speckle Reducing Anisotropic Diffusion", International
Conference on Image Analysis and Recognition, ICIAR'2009, LNCS
5627, pp. 136-145, Springer-Verlag Berlin Heidelberg, July
2009, Halifax, Canada.
Speckle reducing anisotropic diffusion (SRAD) filter is
introduced to significantly reduce speckle noise from images.
Yet, SRAD suffers from the problems of ordinary diffusion
filters, e.g., objects boundaries broadening and edges
dislocation. This paper provides a more robust
diffusion-filtering scheme, which is based on tracking the
image main features across SRAD scale-space images.
Coefficient-tracking SRAD (CSRAD) controls the amount of
allowed diffusion based on the edges original location. CSRAD
is tested on Berkley segmentation dataset. CSRAD results are
subjectively compared with those of SRAD in terms of edge
localization, smoothing enhancement, and features preserving..
Experimental results show that CSRAD significantly reduced the
features distortion and edges dislocation effects.
Consequently, the entire diffusion process is enhanced.