Journal of Computer Sciences and Applications
ISSN (Print): 2328-7268 ISSN (Online): 2328-725X Website: http://www.sciepub.com/journal/jcsa Editor-in-chief: Minhua Ma, Patricia Goncalves
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Journal of Computer Sciences and Applications. 2013, 1(5), 85-90
DOI: 10.12691/jcsa-1-5-2
Open AccessArticle

Crack Classification and Interpolation of Old Digital Paintings

Shruti Garg1, and G. Sahoo2

1Department of CSE, BIT, Mesra, Ranchi, Jharkhand, India

2Department IT, BIT, Mesra, Ranchi, Jharkhand, India

Pub. Date: June 27, 2013

Cite this paper:
Shruti Garg and G. Sahoo. Crack Classification and Interpolation of Old Digital Paintings. Journal of Computer Sciences and Applications. 2013; 1(5):85-90. doi: 10.12691/jcsa-1-5-2

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.

Keywords:
crack detection top-hat transform median filter trimmed filter back propagation algorithm fuzzy c-means algorithm

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]  Barni, M., Bartolini, F., Cappellini, V., “Image processing for virtual restoration of artworks, IEEE Multimedia, 7(2). 34-37. April-June 2000.
 
[2]  Abas, F., Martinez, K., “Craquelure Analysis for Content-based Retrieval,” in Proceedings of 14th International Conference on Digital Signal Processing , IEEE, 1, 111-114, 2002.
 
[3]  Joyeux, L., Buisson, O., Besserer, B., Boukir, S., “Detection and removal of line scratches in motion picture films,” in Proceedings of International Conference on Computer Vision and Pattern Recognition, IEEE, 548-553, 1999.
 
[4]  Kokaram, A., Morris, R., Fitzgerald, W., Rayner, P., “Detection of missing data in image sequences,” IEEE Transactions on Image Processing, 4(11). 1496-1508. November 1995.
 
[5]  Kokaram, A., Morris, R., Fitzgerald, W., Rayner, P., “Interpolation of missing data in image sequences,” IEEE Transactions on Image Processing, 4(11). 1509-1519. November 1995.
 
[6]  Giakoumis, I., Nikolaidis, N., Pitas, I., “Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings,” IEEE Transactions on Image Processing, 15(1). 178- 188. Jan. 2006.
 
[7]  Giakoumis, I., Pitas, I., “Digital Restoration of Painting Cracks” in International Symposium on Circuits and Systems (ISCAS’ 98), IEEE, California USA, June 1998.
 
[8]  Meyer, F., “Iterative image transforms for an automatic screening of cervical smears,” Journal Histoch. Cytochem, 27, 128-135, 1979.
 
[9]  Rajashekharan, S.: Neural Network, Fuzzy Logic and Genetic Algorithms-Synthesis and Application, Prentice Hall, Wiley, 2005, 34-86.
 
[10]  Karray, F.: Soft Computing and Intelligent System Design-Theory, Tools and Applications, Addison Wesley, New York, 2005, 249-293.
 
[11]  Dubois, D., Prade, H.: Fundamentals of fuzzy sets, Kluwer Academic Publishers, The Netherlands, 2000.
 
[12]  Fuller, R., “On product-sum of triangular fuzzy numbers,” Fuzzy Sets and Systems, 41(1), 83-87, 1991.
 
[13]  Zadeh, L. A., “Fuzzy sets,” International Journal of Information and Control, 8, 338-353, 1965.
 
[14]  Bertalmio, M., Sapiro, G., Caselles, V., Ballester C., “Image inpainting,” in Proceedings of SIGGRAPH, ACM, 417-424, 2000.
 
[15]  Ballester, M., Bertalmio, V., Caselles, G., Sapiro, G., Verdera J., “Filling-in by joint interpolation of vector fields and gray levels,” IEEE Transaction of Image Processing, 10(8), 1200-1211, Aug 2001.
 
[16]  Masnou, S., Morel, J. M.,” Level lines based disocclusion,” Proceedings of International Conference of Image Processing, IEEE, 3, 259-263, 1998.
 
[17]  Chan, T., Shen, J., “Non-texture inpaintings by curvature-driven diffusions,” Journal of Visual Communication and Image Representation, 12,(4), 436-449, 2001.
 
[18]  Esedoglu, S., Shen, J., “Digital inpainting based on the Mumford- Shah-Euler image model,” European Journal of Applied Mathematics, 13, 353-370, 2002.
 
[19]  Efros, A., Leung, T., “Texture synthesis by nonparametric sampling,” Proceedings of International Conference of Computer Vision, IEEE 1033-1038, 1999.
 
[20]  Jha, R., Garg, S., Sahoo, G., “Crack Filling in Old Digital Paintings,” International Journal of Graphics and Image Processing, 1(2), 210-214, 2011.
 
[21]  Solanki, S. V., Mahajan, A. R., “Cracks Inspection and Interpolation in Digitized Artistic Picture using Image Processing Approach,” International Journal of Recent Trends in Engineering, 1(2), 97-99, May 2009.