Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8239
Title: Image in-painting techniques - A survey and analysis
Authors: Ravi, S.
Pasupathi, P.
Muthukumar., S.
Krishnan, N.
Issue Date: 2013
Citation: 2013 9th International Conference on Innovations in Information Technology, IIT 2013, 2013, Vol., , pp.36-41
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.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/8239
Appears in Collections:2. Conference Papers

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