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Improved Exemplar based Image Inpainting using Structure Tensor

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 15
Year of Publication: 2014
Authors:
Ankur G. Patel
Shashwat Kumar
Ankit D. Prajapati
10.5120/16868-6763

Ankur G Patel, Shashwat Kumar and Ankit D Prajapati. Article: Improved Exemplar based Image Inpainting using Structure Tensor. International Journal of Computer Applications 96(15):9-14, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Ankur G. Patel and Shashwat Kumar and Ankit D. Prajapati},
	title = {Article: Improved Exemplar based Image Inpainting using Structure Tensor},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {15},
	pages = {9-14},
	month = {June},
	note = {Full text available}
}

Abstract

Image Inpainting is technique in which mainly used to filling the region which are damaged and want to recover from unwanted object by collecting the information from the neighbouring pixels. Image inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. In this paper, we present an improved Exemplar based Structure tensor inpainting method based on the exemplar-based image inpainting technique by modifying the distance function. The method proved to be effective in removing large objects from an image, ensuring accurate propagation of linear structures, and eliminating the drawback of "garbage growing" which is a common problem in other methods. Experimental results show that our method improves the quality of image inpainting compared with the conventional exemplar-based image completion algorithms.

References

  • Ankur patel, Shashwat kumar and Ankit parajapati, "Analysis of Exemplar based Image inpainting,"International Journal of Computer Sciences and Information Technology. Vol. 5 (1), 2014, pp. 800-804.
  • Bertalmio M, Vese L, Sapiro G, Osher S. Simultaneous structure and texture image inpainting," IEEE Transactions on Image Processing, 2003, 12, 882-889.
  • Rane S, Sapiro G, Bertalmio M. Structure and texture filling of missing image blocks in wireless transmission and compression applications. In IEEE. Trans. Image Processing, 2002.
  • Chan T, Shen J. Local inpainting models and TV inpainting, SIAM Journal on Applied Mathematics, 2001, 62, 1019-1043.
  • Chan T, Shen J. Non texture inpainting by curvature-driven diffusions, Journal of Visual Communication and ImageRepresentation, 2001, 4, 436-449.
  • Heeger DJ, Bergen JR. Pyramid-Based Texture Analysis/Synthesis. In proceedings Of ACM Conf. Comp. Graphics (Siggraph),Los Angeles, Ca, 1995, 29, 229-233.
  • Cheng W, Hsieh C, Lin S, Wang C, Wu J. Robust algorithm for exemplar based image inpainting, in Proceedings of International Conference on Computer Graphics, Imaging and Visualization, 2005, 64-69.
  • Wong, Orchard J. A nonlocal means approach to exemplar-based inpainting, in Proceedings of the 15th IEEE International Conference on Image Processing, 2008, 2600-2603
  • Z. Xu and S. Jian, "Image inpainting by patch propagation using patch sparsity," IEEE Transactions on Image Processing, Vol. 19, 2010, pp. 1153-1165.
  • Alexei A. Efros and Thomas K. Leung, "Texture Synthesis by Non-Parametric Sampling", IEEE International Conference on Computer Vision, 1033–1038, 1999 .
  • A. Wong and J. Orchard, "A nonlocal-means approach to examplar-based inpainting," presented at the IEEE Int. Conf. Image Processing, 2008
  • 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.
  • 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.
  • J. Wu and Q. Ruan, "Object Removal By Cross Isophotes Exemplar-based Inpainting," Proc. 18th Intl. Conference on Pattern Recognition, vol. 3, pp. 810-813, 2006.
  • Zhou, J. & Kelly, A. R. 2010. Image Inpainting based on local optimization. International Conference on Patteren Recognitions (ICPR).
  • 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.
  • 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).
  • J. Jia and C. K. Tang, "Image 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
  • 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), Page 261266, 2001.
  • Liu Kui , Tan Jieqing , Su Benyue " Exemplar-based Image Inpainting using Structure Tesnor" International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013).
  • Telea,"An Image Inpainting Technique Based On The Fast Marching Method", Journal Of Graphics Tools, Vol. 9, No. 1, ACM Press 2004.
  • A. Efors and T. Leung, "Texture synthesis by non-parametric sampling," in Proceedings of the 17th IEEE International Conference on Computer Vision, 1999, pp. 1033-1038.
  • 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.