Variational Framework for Non-Local Inpainting

Variational Framework for Non-Local Inpainting

Image inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion. Usually, the only available information is the portion of the image outside the inpainting domain. Besides its numerous applications,the inpainting p...

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Main Authors: Vadim Fedorov, Gabriele Facciolo, Pablo Arias
Format: Article
Language:English
Published: Image Processing On Line 2015-12-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2015/136/
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spelling doaj-1c08a89d29ff48d1867e9f718ebeac0f2020-11-24T22:51:46ZengImage Processing On LineImage Processing On Line2105-12322015-12-01536238610.5201/ipol.2015.136Variational Framework for Non-Local Inpainting Vadim Fedorov Gabriele FaccioloPablo AriasImage inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion. Usually, the only available information is the portion of the image outside the inpainting domain. Besides its numerous applications,the inpainting problem is of theoretical interest since its analysis involves an understanding of the self-similarity present in natural images. In this work, we present a detailed description and implementation of three exemplar-based inpainting methods derived from the variational framework introduced by Arias et al.http://www.ipol.im/pub/art/2015/136/
collection DOAJ
language English
format Article
sources DOAJ
author Vadim Fedorov
Gabriele Facciolo
Pablo Arias
spellingShingle Vadim Fedorov
Gabriele Facciolo
Pablo Arias
Variational Framework for Non-Local Inpainting
Image Processing On Line
author_facet Vadim Fedorov
Gabriele Facciolo
Pablo Arias
author_sort Vadim Fedorov
title Variational Framework for Non-Local Inpainting
title_short Variational Framework for Non-Local Inpainting
title_full Variational Framework for Non-Local Inpainting
title_fullStr Variational Framework for Non-Local Inpainting
title_full_unstemmed Variational Framework for Non-Local Inpainting
title_sort variational framework for non-local inpainting
publisher Image Processing On Line
series Image Processing On Line
issn 2105-1232
publishDate 2015-12-01
description Image inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion. Usually, the only available information is the portion of the image outside the inpainting domain. Besides its numerous applications,the inpainting problem is of theoretical interest since its analysis involves an understanding of the self-similarity present in natural images. In this work, we present a detailed description and implementation of three exemplar-based inpainting methods derived from the variational framework introduced by Arias et al.
url http://www.ipol.im/pub/art/2015/136/
work_keys_str_mv AT vadimfedorov variationalframeworkfornonlocalinpainting
AT gabrielefacciolo variationalframeworkfornonlocalinpainting
AT pabloarias variationalframeworkfornonlocalinpainting
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