A Nonoblivious Image Watermarking System Based on Singular Value Decomposition and Texture Segmentation

In this paper, a robust digital image watermarking scheme for copyright protection applications using the singular value decomposition (SVD) is proposed. In this scheme, an entropy masking model has been applied on the host image for the texture segmentation. Moreover, the local luminance and textures of the host image are considered for watermark embedding procedure to increase the robustness of the watermarking scheme. In contrast to all existing SVD-based watermarking systems that have been designed to embed visual watermarks, our system uses a pseudo-random sequence as a watermark. We have tested the performance of our method using a wide variety of image processing attacks on different test images. A comparison is made between the results of our proposed algorithm with those of a wavelet-based method to demonstrate the superior performance of our algorithm.

Authors:

• Soroosh Rezazadeh
• Mehran Yazdi

Keywords:

• Watermarking
• copyright protection
• singular value decomposition
• entropy masking
• texture segmentation.

References:

[1] F. Hartung and M. Kutter, "Multimedia Watermarking Techniques,"
Proceedings of the IEEE, vol. 87, no. 7, pp. 1079-1107, 1999.
[2] R. Liu and T. Tan, "An SVD-Based Watermarking Scheme for
Protecting Rightful Ownership," IEEE Transactions on Multimedia, vol.
4, no. 1, pp. 121-128, Mar. 2002.
[3] X.P. Zhang and K. Li, "Comments on "An SVD-based watermarking
scheme for protecting rightful Ownership"," IEEE Transactions on
Multimedia, vol. 7, no. 2, pp. 593-594, April 2005.
[4] D.V.S. Chandra, "Digital Image Watermarking Using Singular Value
Decomposition," Proceedings of 45th IEEE Midwest Symposium on
Circuits and Systems, Tulsa, Oklahoma, USA, vol. 3, pp. 264-267, Aug.
2002.
[5] Y.D. Chung and C.H. Kim, "Robust Image Watermarking Against
Filtering Attacks," SICE Annual Conference, Fukui, Japan, vol. 3, pp.
3017-3020, Aug. 2003.
[6] T. Xianghong, Y. Lianjie, and L. Lu, N. Yamei, "Study on a
Multifunction Watermarking Algorithm," Proceedings of IEEE 7th
International Conference on Signal Precessing, vol. 1, pp. 848-852,
Sept. 2004.
[7] T. Xianghong, Y. Lianjie, Y. Hengli, and Y. Zhongke, "A Watermarking
Algorithm Based on the SVD and Hadamard Transform," Proceedings
of IEEE International Conference on Communications, Circuits and
Systems, vol. 2, pp. 874-877, 2005.
[8] V.I. Gorodetski, L.J. Popyack, V. Samoilov, and V.A. Skormin, "SVDBased
Approach to Transparent Embedding Data into Digital Images,"
International Workshop on Mathematical Methods, Models and
Architectures for Computer Network Security, St. Petersburg, Russia,
vol. 2052, pp. 263-274, May 2001.
[9] A. B. Watson, R. Borthwick, and M. Taylor, "Image Quality and
Entropy Masking," Proceedings of SPIE on Human Vision and
Electronic Imaging, Vol. 3016, pp. 2-12, 1997.
[10] S. Suthaharan, S. W. Kim, H. K. Lee, and S. Sathananthan,
"Perceptually Tuned Robust Watermarking Scheme for Digital Images,"
Pattern Recognition Letters, vol. 21, no. 2, pp. 145-149, 2000.
[11] S. W. Kim, S. Suthaharan, "An Entropy Masking Model for Multimedia
Content Watermarking," IEEE International Conference on System
Sciences, 2004.
[12] R. C. Gonzalez, R. E. Woods, "Digital Image processing," Second
Edition, Prentice Hall Inc, 2002.
[13] I. J.Cox, J. Killian, F. T. Leighton, and T. Shamoon, "Secure Spread
Spectrum Watermarking for Multimedia," IEEE Transactions on Image
Processing,vol. 6, no. 12, pp. 1673-1687, 1997.
[14] X. G. Xia, C. G. Boncelet, and G. R. Arce, "Wavelet Transform Based
Watermark for Digital Images," Optics Express, vol. 3, no. 12, pp. 497-
511, Dec. 1998.