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.
https://hal.inria.fr/inria-00417708
Contributeur : Mikael Carlavan
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Soumis le : mercredi 16 septembre 2009 - 16:14:55
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
Document(s) archivé(s) le : mardi 16 octobre 2012 - 11:00:38
