Irregular to regular sampling, denoising and deconvolution - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal Année : 2009

Irregular to regular sampling, denoising and deconvolution

Résumé

We propose a restoration algorithm for band limited images that considers irregular (perturbed) sampling, denoising, and deconvolution. We explore the application of a family of regularizers that allow to control the spectral behavior of the solution combined with the irregular to regular sampling algorithms proposed by H.G. Feichtinger, K. Gröchenig, M. Rauth and T. Strohmer. Moreover, the constraints given by the image acquisition model are incorporated as a set of local constraints. And the analysis of such constraints leads to an early stopping rule meant to improve the speed of the algorithm. Finally we present experiments focused on the restoration of satellite images, where the micro-vibrations are responsible of the type of distortions we are considering here. We will compare results of the proposed method with previous methods and show an extension to zoom.
Fichier principal
Vignette du fichier
facciolo_MMS_09.pdf (1.18 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00988783 , version 1 (02-07-2018)

Identifiants

Citer

Gabriele Facciolo, Andrés Almansa, Jean-François Aujol, Vicent Caselles. Irregular to regular sampling, denoising and deconvolution. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 2009, 7 (4), pp.1574-1608. ⟨10.1137/080719443⟩. ⟨hal-00988783⟩
84 Consultations
64 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More