(Enter summary)
Abstract: Inpainting is the problem of filling-in holes in images.
Considerable progress has been made by techniques that
use the immediate boundary of the hole and some prior
information on images to solve this problem. These algorithms
successfully solve the local inpainting problem but
they must, by definition, give the same completion to any
two holes that have the same boundary, even when the rest
of the image is vastly different. (Update)
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BibTeX entry: (Update)
A. LEVIN A. Z., WEISS Y.: Learning how to inpaint from global image statistics. ICCV http://citeseer.ist.psu.edu/702814.html More
@misc{ levin-learning,
author = "A. LEVIN and A. WEISS",
title = "Learning how to inpaint from global image statistics",
text = "A. LEVIN A. Z., WEISS Y.: Learning how to inpaint from global image statistics.
ICCV",
url = "citeseer.ist.psu.edu/702814.html" }
Citations (may not include all citations):
125
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