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http://dx.doi.org/10.9717/kmms.2013.16.5.591

A Feature-Based Robust Watermarking Scheme Using Circular Invariant Regions  

Doyoddorj, Munkhbaatar (Department of Information Security, Pukyong National University)
Rhee, Kyung-Hyung (Department of IT Convergence and Application Engineering, Pukyong National University)
Publication Information
Abstract
This paper addresses a feature-based robust watermarking scheme for digital images using a local invariant features of SURF (Speeded-Up Robust Feature) descriptor. In general, the feature invariance is exploited to achieve robustness in watermarking schemes, but the leakage of information about hidden watermarks from publicly known locations and sizes of features are not considered carefully in security perspective. We propose embedding and detection methods where the watermark is bound with circular areas and inserted into extracted circular feature regions. These methods enhance the robustness since the circular watermark is inserted into the selected non-overlapping feature regions instead of entire image contents. The evaluation results for repeatability measures of SURF descriptor and robustness measures present the proposed scheme can tolerate various attacks, including signal processing and geometric distortions.
Keywords
Robust Watermarking; Local Invariant Feature; Optimized Location; Repeatability; Distinctiveness;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 F. Cayre, C. Fontaine, and T. Furon, "Watermarking Security: Theory and Practice," IEEE Transactions on Signal Processing, Vol. 53, No. 10, pp. 3976-3987, 2005.   DOI   ScienceOn
2 L. Perez-Freire, P. Comesana, J.R.T.Pastoriza, and F. Perez-Gonzalez, "Watermarking Security: A Survey," Transactions on Data Hiding and Multimedia Security I , Vol. 4300, pp. 41-72, 2006.   DOI   ScienceOn
3 K. Mikolajczyk, T. Tuytelaars, and L.V. Gool, "A Comparison of Affine Region Detectors," International Journal of Computer Vision, Vol. 65, No. 2, pp. 43-72, 2005.   DOI   ScienceOn
4 D. Munkhbaatar, Y. Park, and K.-H. Rhee, "A Robust Reversible Data Hiding Scheme with Large Embedding Capacity and High Visual Quality," Journal of Korea Multimedia Society, Vol. 15, No. 7, pp. 891-902, 2012.   과학기술학회마을   DOI   ScienceOn
5 C. Deng, X. Gao, X. Li, and D. Tao, "Local Histogram based Geometric Invariant Image Watermarking," Signal Processing, Vol. 90, No. 12, pp. 3256-3264, 2010.   DOI   ScienceOn
6 J.S. Tsai, W.B. Huang, and Y.H. Kuo, "On the Selection of Optimal Feature Region Set for Robust Digital Image Watermarking," IEEE Transactions on Image Processing, Vol. 20, No. 3, pp. 735-743, 2011.   DOI   ScienceOn
7 S. Pereira and T. Pun, "Robust Template Matching for Affine Resistant Image Watermarks," IEEE Transactions on Signal Processing, Vol. 9, No. 6, pp. 1123-1129, 2000.
8 X. Kang, J. Huang, Y.Q. Shi, and Y. Lin, "A DWT-DFT Composite Watermarking Scheme Robust to both Affine Transform and JPEG Compression," IEEE Transactions Circuits System & Video Technology, Vol. 13, No. 8, pp. 776- 786, 2003.   DOI   ScienceOn
9 D. Zheng, J. Zhao, and S. El Saddik, "RST-Invariant Digital Correlation," IEEE Transactions Circuits Systems & Video Technology, Vol. 13, No. 8, pp. 753-765, 2003.   DOI   ScienceOn
10 C.Y. Lin, M. Wu, J.A. Bloom, I.J. Cox, M.L. Miller, and Y.M. Lui, "'Rotation, Scale, and Translation Resilient Watermarking for Images," IEEE Transactions on Image Processing, Vol. 10, No. 5, pp. 767-782, 2001.   DOI   ScienceOn
11 M. Alghoniemy and A.H. Tewfik, "Geometric Invariant in Image Watermarking," IEEE Transactions on Image Processing, Vol. 13, No. 2, pp. 145-153, 2004.   DOI   ScienceOn
12 P. Dong, J.G. Brankov, N.P. Galatsanos, Y.Y. Yang, and F. Davoine, "Affine Transformation Resistant Watermarking Based on Image Normalization," IEEE Transactions on Image Processing, Vol. 14, No. 12, pp. 145-153, 2005.   DOI   ScienceOn
13 S. Roy and E.C. Chang, "Watermarking Color Histograms," Proc. Int. Conf. Image Processing, pp. 2191-2194, 2004.
14 S. Xiang, H. Joong, and J. Huang, "Invariant Image Watermarking Based on Statistical Features in Low-Frequency Domain," IEEE Transactions on Circuit and System Video Technology, Vol. 18, No. 6, pp. 777-789, 2008.   DOI   ScienceOn
15 P. Bas, J.M. Chassery, and B. Macq, "Geometrically Invariant Watermarking using Feature Points," IEEE Transactions on. Image Processing, Vol. 11, No. 9, pp. 1014-1028, 2002.   DOI   ScienceOn
16 C.W. Tang and H.M. Hang, "A Feature-Based Robust Digital Image Watermarking Scheme," IEEE Transactions on Signal Processing, Vol. 51, No. 4, pp. 950-959, 2003.   DOI   ScienceOn
17 X. Qi and J. Qi, "A Robust Content-Based Digital Image Watermarking Scheme," Signal Processing, Vol. 87, No. 6, pp. 1264-1280, 2007.   DOI   ScienceOn
18 H. Bay, A. Ess, T. Tuytelaars, and L.V. Gool, "SURF: Speeded Up Robust Features," Computer Vision and Image Understanding (CVIU) , Vol. 110, No. 3, pp. 346-359, 2008.   DOI   ScienceOn
19 P. Shao, L. Yang, and Y. Zeng, "An Improved Algorithm of Integral Image for Computing Rotated Harr-Like Features," Computer Technology and Development, Vol. 12, No.3, pp. 34-42, 2006.
20 M. Brown and D. Lowe, "Invariant Features from Interest Point Groups," Proc. Conf. British Machine Vision, British, pp. 656-665, 2002.
21 Y. Zhang, H. Bi, and H. Zhang, "Robust Watermarking Scheme by Harris Interest Regions," Journal of Computational Information Systems, Vol. 8, No. 20, pp. 8421-8429, 2012.
22 L. Li, B. Guo, and L. Guo, "Rotation, Scaling and Translation Invariant Image Watermarking using Feature Points," The Journal of China Universities of Posts and Telecommunications, Vol. 15, No. 2, pp. 82-87, 2008.