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Conference Papers Year : 2008

SATELLITE IMAGE RECONSTRUCTION FROM AN IRREGULAR SAMPLING

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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Dates and versions

inria-00278919 , version 1 (14-05-2008)

Identifiers

  • HAL Id : inria-00278919 , version 1

Cite

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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