Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Orthogonal projection algorithm for first and second order total variation denoising

Abstract : The denoising problem is the process of removing the noise from a degraded image. As we know, the Rodin Osher Fatemi (ROF) denoising model based on total variation is a robust approach for solving the ill-posed problem. To avoid the staircasing effects caused by the first order total variation, the second order one is proposed. In this work, we present an orthogonal projection algorithm for solving the ROF model with first and second order total variation. The efficiency and robustness against noise of the proposed model are illustrated and compared with the classical methods through numerical simulations.
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

https://hal-enpc.archives-ouvertes.fr/hal-01811732
Contributeur : Mohammed El Rhabi <>
Soumis le : lundi 11 juin 2018 - 14:01:46
Dernière modification le : mardi 17 décembre 2019 - 18:00:05
Archivage à long terme le : : mercredi 12 septembre 2018 - 12:41:08

Fichier

elmourabit_2015.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01811732, version 1

Collections

Citation

Idriss Mourabit, Mohammed El Rhabi, Abdelilah Hakim. Orthogonal projection algorithm for first and second order total variation denoising. Annals of the University of Craiova. Mathematics and Computer Science series, University of Craiova, 2015, 42 (1), pp.148-157. ⟨hal-01811732⟩

Partager

Métriques

Consultations de la notice

133

Téléchargements de fichiers

89