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Rapport (Rapport De Recherche) Année : 2015

Edge-preserving nonnegative deconvolution of hyperspectral fluorescence microscopy images

Résumé

In many hyperspectral image restoration problems, some prior information is available, such as the spatial and/or spectral regularity of the solution. Additionally, a nonnegativ-ity constraint must often be imposed to provide a physically meaningful estimate. The restored image is then obtained as the constrained minimizer of a penalized convex criterion. In this paper, we propose a fast algorithm for edge-preserving hyperspectral image restoration.
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Dates et versions

hal-01171524 , version 1 (04-07-2015)

Identifiants

  • HAL Id : hal-01171524 , version 1

Citer

Simon Henrot, Charles Soussen, Said Moussaoui, David Brie. Edge-preserving nonnegative deconvolution of hyperspectral fluorescence microscopy images. [Research Report] CRAN-IRCCyN. 2015. ⟨hal-01171524⟩
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