Highly corrupted image inpainting through hypoelliptic diffusion - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2015

Highly corrupted image inpainting through hypoelliptic diffusion

Résumé

We present a new image inpainting algorithm, the Averaging and Hypoelliptic Evolution (AHE) algorithm, inspired by the one presented in [1] and based upon a (semi-discrete) variation of the Citti--Petitot--Sarti model of the primary visual cortex V1. In particular, we focus on reconstructing highly corrupted images (i.e. where more than the 80% of the image is missing). [1] U. Boscain, R. A. Chertovskih, J. P. Gauthier, and A. O. Remizov, Hypoelliptic diffusion and human vision: a semidiscrete new twist, SIAM J. Imaging Sci., vol. 7, no. 2, pp. 669--695, 2014.
Fichier principal
Vignette du fichier
IEEE_paper.pdf (5.74 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01139521 , version 1 (04-03-2017)
hal-01139521 , version 2 (08-06-2018)

Identifiants

Citer

Ugo Boscain, Roman Chertovskih, Jean-Paul Gauthier, Dario Prandi, Alexey Remizov. Highly corrupted image inpainting through hypoelliptic diffusion. 2015. ⟨hal-01139521v1⟩
821 Consultations
252 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More