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Conference papers

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 , Laboratoire I3S - 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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Submitted on : Wednesday, September 16, 2009 - 4:14:55 PM
Last modification on : Sunday, May 1, 2022 - 3:14:35 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 11:00:38 AM


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  • HAL Id : inria-00417708, version 1



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. ⟨inria-00417708⟩



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