NDLI: Prior and macro-filling order for image completion

Content Provider	IEEE Xplore Digital Library
Author	Martinez-Noriega, R. Roumy, A.
Copyright Year	2013
Description	Author affiliation: INRIA, Rennes, France (Martinez-Noriega, R.; Roumy, A.)
Abstract	This paper introduces an algorithm to build priors that help image completion to produce better and visually plausible results. The goal of the prior is to seamlessly reconstruct long edges, that exemplar-based inpainting fails to restore. The prior consists in locating the edges across the missing region, and separating the image in regions of relative similar textures. Unlike other techniques, our proposal does not use segmentation or inpainting to obtain the prior, providing a fast technique. Moreover, the technique does not rely on an image dependent threshold. Finally, we propose a scheduling for the synthesis of the missing region based on the prior and Criminisi's algorithm. The scheduling may be thought as a novel macro-filling order for exemplar-based synthesis. The results are comparable with recent and more complex proposals based on super-resolution or Photoshop. Finally, we emphasize that, our prior is not dedicated to our image completion algorithm, and can be used to drive other image completion or inpainting algorithms.
Starting Page	719
Ending Page	723
File Size	3925755
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Image restoration Bismuth Image segmentation Proposals Image reconstruction Detectors filling priority prior image completion inpainting
Content Type	Text
Resource Type	Article

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