@article{jcsa2013152,
author={{Garg, Shruti and Sahoo, G.},
title={Crack Classification and Interpolation of Old Digital Paintings},
journal={Journal of Computer Sciences and Applications},
volume={1},
number={5},
pages={85--90},
year={2013},
url={http://pubs.sciepub.com/jcsa/1/5/2},
issn={2328-725X},
abstract={Paintings which was handled roughly or made from low quality paint or base usually suffers from crack in a long run, which causes them to lose some of the information. This paper discuss about automatic approach for classification and interpolation of cracks. For classification supervised and unsupervised methods were implemented and for interpolation different order statistics filter were applied. Experimental result shows that unsupervised classification works better than supervised classification. And variable size window filter works best for interpolation of cracks.},
doi={10.12691/jcsa-1-5-2}
publisher={Science and Education Publishing}
}