Image in-painting techniques - A survey and analysis

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DC Field	Value	Language
dc.contributor.author	Ravi, S.
dc.contributor.author	Pasupathi, P.
dc.contributor.author	Muthukumar., S.
dc.contributor.author	Krishnan, N.
dc.date.accessioned	2020-03-30T10:18:15Z	-
dc.date.available	2020-03-30T10:18:15Z	-
dc.date.issued	2013
dc.identifier.citation	2013 9th International Conference on Innovations in Information Technology, IIT 2013, 2013, Vol., , pp.36-41	en_US
dc.identifier.uri	http://idr.nitk.ac.in/jspui/handle/123456789/8239	-
dc.description.abstract	Digital in-painting is relatively a young research area, yet a large variety of techniques were proposed by the researchers to correct the occlusion. Image in-painting aims to restore images with partly information loss and tries to make in-painting results as these missing parts in such a way that the reconstructed image looks natural. Many different types of image in-painting algorithms exist in the literature. However no recent study has been undertaken for a comparative evaluation of these algorithms to provide a comprehensive visualization. This paper compares different types of image in-painting algorithms. The algorithms are analyzed in both theoretical and experimental ways, which have made the suitability of these image in-painting algorithms over different kinds of applications in diversified areas. � 2013 IEEE.	en_US
dc.title	Image in-painting techniques - A survey and analysis	en_US
dc.type	Book chapter	en_US
Appears in Collections:	2. Conference Papers

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