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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:51863", author = "Soroosh Rezazadeh and Mehran Yazdi", title = "A Nonoblivious Image Watermarking System Based on Singular Value Decomposition and Texture Segmentation", abstract = "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.", keywords = "Watermarking, copyright protection, singular value
decomposition, entropy masking, texture segmentation.", volume = "2", number = "7", pages = "2330-5", }