Complex wavelet regularization for solving inverse problems in remote sensing

Mikael Carlavan 1 Pierre Weiss 1 Laure Blanc-Féraud 1 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
Abstract : Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient scheme to solve these problems. We show some results on a problem of image reconstruction with noise, irregular sampling and blur. We also show a comparison between two widely used priors in image processing: sparsity and regularity priors.
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Communication dans un congrès
IGARSS, Jul 2009, Cape Town, South Africa. 2009
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https://hal.inria.fr/inria-00417708
Contributeur : Mikael Carlavan <>
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Dernière modification le : vendredi 26 mars 2010 - 09:16:31
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Mikael Carlavan, Pierre Weiss, Laure Blanc-Féraud, Josiane Zerubia. Complex wavelet regularization for solving inverse problems in remote sensing. IGARSS, Jul 2009, Cape Town, South Africa. 2009. <inria-00417708>

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