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| HAL : hal-00365628, version 1 |
| Fiche détaillée |  Récupérer au format |
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| NeuroComp'06, Pont-à-Mousson : France (2006) |
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| Random Sensing of Geometric Images |
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| Gabriel Peyré 1 |
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| (10/2006) |
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| This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the universal sampling strategy of compressed sensing together with an adaptive recovery process that adapts the basis to the structure of the sensed signal. A fast greedy scheme is used during reconstruction to estimate the best basis using an iterative refinement. Numerical experiments on geometrical images show that adaptivity is indeed crucial to capture the structures of complex natural signals. |
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| 1 : | CEntre de REcherches en MAthématiques de la DEcision (CEREMADE) |
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CNRS : UMR7534 – Université Paris IX - Paris Dauphine |
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| Domaine | : | Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Traitement du signal et de l'image |
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| Compressed sensing – best basis – bandlets |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00365628, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00365628 | |
| oai:hal.archives-ouvertes.fr:hal-00365628 | |
| Contributeur : Gabriel Peyré | |
| Soumis le : Mardi 3 Mars 2009, 23:20:34 | |
| Dernière modification le : Mercredi 4 Mars 2009, 08:58:05 | |
