1. A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage.
- Author
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Parrilli, S., Poderico, M., Angelino, C. V., and Verdoliva, L.
- Subjects
- *
WIENER filters (Signal processing) , *MEAN square algorithms , *SPECKLE interference , *SYNTHETIC aperture radar , *DISCRETE wavelet transforms - Abstract
We propose a novel despeckling algorithm for synthetic aperture radar (SAR) images based on the concepts of nonlocal filtering and wavelet-domain shrinkage. It follows the structure of the block-matching 3-D algorithm, recently proposed for additive white Gaussian noise denoising, but modifies its major processing steps in order to take into account the peculiarities of SAR images. A probabilistic similarity measure is used for the block-matching step, while the wavelet shrinkage is developed using an additive signal-dependent noise model and looking for the optimum local linear minimum-mean-square-error estimator in the wavelet domain. The proposed technique compares favorably w.r.t. several state-of-the-art reference techniques, with better results both in terms of signal-to-noise ratio (on simulated speckled images) and of perceived image quality. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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