@inproceedings{cfeff36e8fd841e08353f8ee5e1a45a4,
title = "The use of levelable regularization functions for MRF restoration of SAR images while preserving reflectivity",
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.",
keywords = "Energy minimization, Image restoration, Levelable functions, Synthetic aperture Radar, Total variation",
author = "J{\'e}r{\^o}me Darbon and Marc Sigelle and Florence Tupin",
year = "2007",
month = aug,
day = "31",
doi = "10.1117/12.698183",
language = "English",
isbn = "0819466115",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging V",
note = "Computational Imaging V ; Conference date: 29-01-2007 Through 31-01-2007",
}