Comparison of wavelet-based and statistical speckle filters
Éric Hervet, Roger Fjørtoft, Philippe Marthon, Armand Lopès · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
The wavelet transform has become a very popular tool in signal and image processing. Over the last few years, several authors have proposed wavelet-based filters for speckle reduction in SAR*images, and the results are generally reported to be superior to those obtained with traditional statistical speckle filters. In this paper we give a thorough experimental comparison of representative filters from both categories. We show that spatially adaptive statistical filters yield better noise reduction and preservation of structures than wavelet- based methods, but that the latter have certain advantages compared to statistical filters which are not spatially adaptive.