An introduction to Total Variation for Image Analysis

Abstract : These are the lecture notes of a course taught in Linz in Sept., 2009, at the school "summer school on sparsity", organized by Massimo Fornasier and Ronny Romlau. They address various theoretical and practical topics related to Total Variation-based image reconstruction. They focu first on some theoretical results on functions which minimize the total variation, and in a second part, describe a few standard and less standard algorithms to minimize the total variation in a finite-differences setting, with a series of applications from simple denoising to stereo, or deconvolution issues, and even more exotic uses like the minimization of minimal partition problems.
Type de document :
Pré-publication, Document de travail
2009
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00437581
Contributeur : Antonin Chambolle <>
Soumis le : lundi 30 novembre 2009 - 23:38:32
Dernière modification le : vendredi 10 février 2017 - 01:12:23
Document(s) archivé(s) le : jeudi 17 juin 2010 - 18:52:54

Fichiers

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

Identifiants

  • HAL Id : hal-00437581, version 1

Collections

Citation

Antonin Chambolle, Vicent Caselles, Matteo Novaga, Daniel Cremers, Thomas Pock. An introduction to Total Variation for Image Analysis. 2009. <hal-00437581>

Partager

Métriques

Consultations de
la notice

30258

Téléchargements du document

20514