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.

A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage / S., Parrilli; M., Poderico; C. V., Angelino; Verdoliva, Luisa. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 50:(2012), pp. 606-616. [10.1109/TGRS.2011.2161586]

A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage

VERDOLIVA, LUISA
2012

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.
2012
A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage / S., Parrilli; M., Poderico; C. V., Angelino; Verdoliva, Luisa. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 50:(2012), pp. 606-616. [10.1109/TGRS.2011.2161586]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/430676
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