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Authors: Vadim Fedorov 1 ; Pablo Arias 2 ; Gabriele Facciolo 3 and Coloma Ballester 1

Affiliations: 1 University Pompeu Fabra, Spain ; 2 ENS Cachan, France ; 3 Ecole Nationale des Ponts et Chaussées, France

Keyword(s): Image Inpainting, Self-similarity, Affine Invariance.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: This paper presents a new method for exemplar-based image inpainting using transformed patches. We build upon a recent affine invariant self-similarity measure which automatically transforms patches to compare them in an appropriate manner. As a consequence, it intrinsically extends the set of available source patches to copy information from. When comparing two patches, instead of searching for the appropriate patch transformation in a highly dimensional parameter space, our approach allows us to determine a single transformation from the texture content in both patches. We incorporate the affine invariant similarity measure in a variational formulation for inpainting and present an algorithm together with experimental results illustrating this approach.

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Paper citation in several formats:
Fedorov, V.; Arias, P.; Facciolo, G. and Ballester, C. (2016). Affine Invariant Self-similarity for Exemplar-based Inpainting. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 48-58. DOI: 10.5220/0005728100480058

@conference{visapp16,
author={Vadim Fedorov. and Pablo Arias. and Gabriele Facciolo. and Coloma Ballester.},
title={Affine Invariant Self-similarity for Exemplar-based Inpainting},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={48-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005728100480058},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Affine Invariant Self-similarity for Exemplar-based Inpainting
SN - 978-989-758-175-5
IS - 2184-4321
AU - Fedorov, V.
AU - Arias, P.
AU - Facciolo, G.
AU - Ballester, C.
PY - 2016
SP - 48
EP - 58
DO - 10.5220/0005728100480058
PB - SciTePress

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