Super-resolution-based inpainting

Olivier Le Meur 1 Christine Guillemot 2
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : This paper introduces a new examplar-based inpainting framework. A coarse version of the input image is first inpainted by a non-parametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours). The inpainted of a coarse version of the input image allows to reduce the computational complexity, to be less sensitive to noise and to work with the dominant orientations of image structures. From the low-resolution inpainted image, a single-image super-resolution is applied to recover the details of missing areas. Experimental results on natural images and texture synthesis demonstrate the effectiveness of the proposed method.
Type de document :
Communication dans un congrès
ECCV, Oct 2012, Florence, Italy. 2012
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https://hal.inria.fr/hal-00742827
Contributeur : Olivier Le Meur <>
Soumis le : mardi 27 novembre 2012 - 11:38:21
Dernière modification le : mercredi 16 mai 2018 - 11:23:38
Document(s) archivé(s) le : jeudi 28 février 2013 - 03:43:20

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  • HAL Id : hal-00742827, version 2

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Olivier Le Meur, Christine Guillemot. Super-resolution-based inpainting. ECCV, Oct 2012, Florence, Italy. 2012. 〈hal-00742827v2〉

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