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SATELLITE IMAGE RECONSTRUCTION FROM AN IRREGULAR SAMPLING

Eric Bughin 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 : 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].
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https://hal.inria.fr/inria-00278919
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Submitted on : Wednesday, May 14, 2008 - 11:51:22 AM
Last modification on : Monday, October 12, 2020 - 10:30:13 AM
Long-term archiving on: : Friday, September 28, 2012 - 2:35:42 PM

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Eric Bughin, Laure Blanc-Féraud, Josiane Zerubia. SATELLITE IMAGE RECONSTRUCTION FROM AN IRREGULAR SAMPLING. ICASSP, Mar 2008, Las Vegas, NEVADA, United States. ⟨inria-00278919⟩

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