The use of levelable regularization functions for MRF restoration of SAR images while preserving reflectivity

Jérôme Darbon; Marc Sigelle; Florence Tupin

doi:10.1117/12.698183

28 February 2007 The use of levelable regularization functions for MRF restoration of SAR images while preserving reflectivity

Jérôme Darbon, Marc Sigelle, Florence Tupin

Author Affiliations +

Proceedings Volume 6498, Computational Imaging V; 64980T (2007) https://doi.org/10.1117/12.698183
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

It is well-known that Total Variation (TV) minimization with L² data fidelity terms (which corresponds to white Gaussian additive noise) yields a restored image which presents some loss of contrast. The same behavior occurs for TV models with non-convex data fidelity terms that represent speckle noise. In this note we propose a new approach to cope with the restoration of Synthetic Aperture Radar images while preserving the contrast.

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Jérôme Darbon, Marc Sigelle, and Florence Tupin "The use of levelable regularization functions for MRF restoration of SAR images while preserving reflectivity", Proc. SPIE 6498, Computational Imaging V, 64980T (28 February 2007); https://doi.org/10.1117/12.698183

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