Multiresolution Adaptive Speckle Filtering: a Comparison of Algorithms

Speckle filtering in multiresolution frameworks is the key to extend spatial adaptivity also across scales. Several procedures based on wavelets and pyramids, in which the different resolutions are adaptively filtered, have been introduced for selective speckle smoothing with preservation of features and point targets. In this work, comparison tests on true and synthetic speckled images show significant advances of the multi- over the single-scale approach, especially for the pyramid based scheme proposed by the authors, where visual comparisons on SAR images show better texture preservation.