Ravi, S.Pasupathi, P.Muthukumar., S.Krishnan, N.2020-03-302020-03-3020132013 9th International Conference on Innovations in Information Technology, IIT 2013, 2013, Vol., , pp.36-41https://idr.nitk.ac.in/handle/123456789/8239Digital 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.Book chapter