Space Variant Blind Image Restoration - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue SIAM Journal on Imaging Sciences Année : 2014

Space Variant Blind Image Restoration

Saima Ben Hadj
  • Fonction : Auteur
  • PersonId : 949989
Laure Blanc-Féraud

Résumé

We are interested in blind restoration of optical space variant blurred Poissonian images. For exam-ple, blur variation is due to refractive index mismatch in three-dimensional fluorescence microscopy or due to atmospheric turbulence in astrophysical images. In this work, the space variant point spread function (PSF) is approximated by a convex combination of a set of space invariant blurring functions. The latter is jointly estimated with the image by optimizing a given criterion including l1 and l2 norms for regularizing the image and the PSFs. We prove, in the continuous setting, the existence of a solution to this optimization problem. We then propose an alternating optimization algorithm based on a scaled gradient projection method. We show the efficiency of the proposed method on simulated and real optical images.
Fichier principal
Vignette du fichier
94577.pdf (1.02 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01096491 , version 1 (17-12-2014)

Identifiants

Citer

Saima Ben Hadj, Laure Blanc-Féraud, Gilles Aubert. Space Variant Blind Image Restoration . SIAM Journal on Imaging Sciences, 2014, 7, pp.2196 - 2225. ⟨10.1137/130945776⟩. ⟨hal-01096491⟩
386 Consultations
468 Téléchargements

Altmetric

Partager

More