Two constrained formulations for deblurring poisson noisy images

Mikael Carlavan 1 Laure Blanc-Féraud 1
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
Abstract : Deblurring noisy Poisson images has recently been subject of an increasingly amount of works in many areas such as astronomy or biological imaging. Several methods have promoted explicit prior on the solution to regularize the ill-posed inverse problem and to improve the quality of the image. In each of these methods, a regularizing parameter is introduced to control the weight of the prior. Unfortunately, this regularizing parameter has to be manually set such that it gives the best qualitative results. To tackle this issue, we present in this paper two constrained formulations for the Poisson deconvolution problem, derived from recent advances in regularizing parameter estimation for Poisson noise. We first show how to improve the accuracy of these estimators and how to link these estimators to constrained formulations. We then propose an algorithm to solve the resulting optimization problems and detail how to perform the projections on the constraints. Results on real and synthetic data are presented.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing, 2011, Brussels, Belgium. 2011
Liste complète des métadonnées

https://hal.inria.fr/inria-00591035
Contributeur : Mikael Carlavan <>
Soumis le : vendredi 6 mai 2011 - 10:28:22
Dernière modification le : samedi 23 juillet 2016 - 01:04:56
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 10:50:21

Fichier

ICIP2011.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00591035, version 1

Collections

Citation

Mikael Carlavan, Laure Blanc-Féraud. Two constrained formulations for deblurring poisson noisy images. IEEE International Conference on Image Processing, 2011, Brussels, Belgium. 2011. <inria-00591035>

Partager

Métriques

Consultations de
la notice

212

Téléchargements du document

119