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Image Inpainting - A Review of the Underlying Different Algorithms and Comparative Study of the Inpainting Techniques

by Kaushikkumar R. Patel, Lalit Jain, Ankurkumar G.patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 10
Year of Publication: 2015
Authors: Kaushikkumar R. Patel, Lalit Jain, Ankurkumar G.patel
10.5120/20784-3422

Kaushikkumar R. Patel, Lalit Jain, Ankurkumar G.patel . Image Inpainting - A Review of the Underlying Different Algorithms and Comparative Study of the Inpainting Techniques. International Journal of Computer Applications. 118, 10 ( May 2015), 32-38. DOI=10.5120/20784-3422

@article{ 10.5120/20784-3422,
author = { Kaushikkumar R. Patel, Lalit Jain, Ankurkumar G.patel },
title = { Image Inpainting - A Review of the Underlying Different Algorithms and Comparative Study of the Inpainting Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 10 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number10/20784-3422/ },
doi = { 10.5120/20784-3422 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:21.260245+05:30
%A Kaushikkumar R. Patel
%A Lalit Jain
%A Ankurkumar G.patel
%T Image Inpainting - A Review of the Underlying Different Algorithms and Comparative Study of the Inpainting Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 10
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Inpainting also known as retouching is the process by which we try to fill in the damaged or missing portions of an image in such a way that it is unable for the person seeing the image to find the fault within the image. Digital Image In painting, a relatively young research area is an art of filling in the missing or corrupted regions in an image using information from the neighboring pixels in a visually plausible manner, while restoring its unity. It is helpfully used for object removal in digital photographs, image reconstruction, text removal, video restoration, special effects in movie discussions and so on. There are numbers of method used for image inpainting. All methods have their own advantage and disadvantages. This paper presents a comparative study and review of different image in painting techniques. The algorithms are analyzed theoretically as well as experimentally.

References
  1. Yanking Liu and Vicent Caselles," Exemplar-Based Image Inpainting Using Multiscale Graph Cuts", IEEE Transactions On Image Processing, vol. 22, no. 5, May 2013.
  2. Liu Kui, Tan Jieqing, Su Benyue " Exemplar-based Image Inpainting using Structure Tesnor", International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013).
  3. Jiunn-Lin Wu and Yi-Ying Chou Department of Computer Science and Engineering National Chung Hsing University, Taichung, 402 Taiwan" An Effective Content-Aware Image Inpainting Method", Journal of information science and engineering 28, 755-770 (2012).
  4. Alexandra Ioana Oncu Feier. (2012). Digital Inpainting for Artwork Restoration: Algorithms and Evaluation, Master Thesis Report.
  5. Anupam, Pulkit Goyal, Sapan Diwakar, Information Technology, IIIT Allahabad, India "Fast and Enhanced Algorithm for Exemplar Based Image Inpainting", Fourth Pacific-Rim Symposium on Image and Video Technology 2010.
  6. Z. Xu and S. Jian, "Image inpainting by patch propagation using patch sparsity", IEEE Transactions on Image Processing, vol. 19, 2010, pp. 1153-1165.
  7. A. Wong and J. Orchard, "A nonlocal-means approach to exemplar-based inpainting", presented at the IEEE Int. Conf. Image Processing, 2008, pp. 2600-2603.
  8. Zhongyu Xu, Xiaoli Lian and Lili Feng. (2008). "Image Inpainting Algorithm Based on Partial Differential Equation", IEEE Computer Society, International Colloquium on Computing, Communication, Control, and Management ISSN:978-0-7695-3290-5.
  9. Michael E Taschler. (2006). "A Comparative Analysis of Image Inpainting Techniques", The University of York, pp. 01-120.
  10. W. Cheng, C. Hsieh, S. Lin, C. Wang, and J. Wu, "Robust algorithm for exemplar-based image inpainting," in Processing of International Conference on Computer Graphics, Imaging and Visualization, 2005, pp. 64-69.
  11. Telea,"An Image Inpainting Technique Based On The Fast Marching Method", Journal Of Graphics Tools, vol. 9, no. 1, ACM Press, 2004.
  12. A Criminisi, P. Pérez, and K. Toyama, "Region filling and object removal by exemplar-based image inpainting," IEEE Trans. Image Process. , vol. 13, no. 9, pp. 1200–1212, Sep. 2004.
  13. Bertalmio M, Vese L, Sapiro G, Osher S. "Simultaneous structure and texture image inpainting," IEEE Transactions on Image Processing, 2003, 12, 882-889.
  14. Drori D. Cohen-Or, Yeshurun H. "Fragment-based image completion", ACM Transactions on Graphics, 2003, 22, 303-312.
  15. J. Jia and C. K. Tang, "Image is repairing: Robust image synthesis by adaptive ND tensor voting," in Proceedings of IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2003, pp. 643-650.
  16. Shen, J. (June 2003). Inpainting and the Fundamental Problem of Image Processing, SIAM News, 36 (5).
  17. Rane S, Sapiro G, Bertalmio M. "Structure and texture filling of missing image blocks in wireless transmission and compression applications". IEEE. Trans. Image Processing, 2002.
  18. Chan T, Shen J. "Non texture inpainting by curvature-driven diffusions", Journal of Visual Communication and Image Representation, 2001, 4, 436-449.
  19. Oliviera, B. Bowen, R. Mckenna, and Y. -S. Chang. "Fast Digital Image Inpainting", in Proc. Of Intl. Conf. On Visualization, Imaging And Image Processing (VIIP), pp. 261-266, 2001.
  20. Bertalmio, M. , Bertozzi,A. L. And Sapiro, G. (Dec 2001). "Navier Stokes, Fluid Dynamics, and Image and Video Inpainting", Proceedings of Conf. Comp. Vision, Pattern Rec. , Hawai, pp. 355–362.
  21. Bertalmio M, Sapiro G, Caselles V, Ballester C. "Image inpainting", In Proceedings of ACM Conf. Comp. Graphics (SIGGRAPH), 417-424, New Orleans, USA, July 2000.
  22. Alexei A. Efros and Thomas K. Leung, "Texture Synthesis by Non-Parametric Sampling", IEEE International Conference on Computer Vision, pp. 1033–1038, 1999.
  23. Emile-Male, G. The Restorer's Handbook of Easel Painting, Van Nostrand Reinhold, New York. (1976).
Index Terms

Computer Science
Information Sciences

Keywords

Inpainting Texture Structure Image Occlusion Object Removal Algorithm Exemplar

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