Abstract : We propose a new method to solve a problem of image restoration with many different aspects: reconstruction from irregular samples, deconvolution and denoising. The model we propose is robust to different kind of noises, in particular, impulse and Gaussian noise. We compare our results to the ones obtained in [1] and show that our problem presents some advantages particularly in satellite imaging. At last, we conclude on a discussion about resolution schemes for variational problems' minimization and propose some faster resolution shemes for our problem and the one in [1].
Type de document :
Communication dans un congrès
ICASSP, Mar 2008, Las Vegas, NEVADA, United States. 2008
https://hal.inria.fr/inria-00278919
Contributeur : Aymen El Ghoul
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Soumis le : mercredi 14 mai 2008 - 11:51:22
Dernière modification le : lundi 5 novembre 2018 - 15:52:01
Document(s) archivé(s) le : vendredi 28 septembre 2012 - 14:35:42
Eric Bughin, Laure Blanc-Féraud, Josiane Zerubia. SATELLITE IMAGE RECONSTRUCTION FROM AN IRREGULAR SAMPLING. ICASSP, Mar 2008, Las Vegas, NEVADA, United States. 2008. 〈inria-00278919〉
