[IPOL announce] new article: Variational Framework for Non-Local Inpainting

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2015/136/

Vadim Fedorov, Gabriele Facciolo, and Pablo Arias,
Variational Framework for Non-Local Inpainting,
Image Processing On Line, 5 (2015), pp. 362–386.
http://dx.doi.org/10.5201/ipol.2015.136

Abstract
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.