Published July 29, 2008
| Version 2735
Journal article
Open
A Nonoblivious Image Watermarking System Based on Singular Value Decomposition and Texture Segmentation
Authors/Creators
Description
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.
Files
2735.pdf
Files
(1.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:351cf01479543a707da83352b2434b64
|
1.3 MB | Preview Download |
Additional details
References
- F. Hartung and M. Kutter, "Multimedia Watermarking Techniques," Proceedings of the IEEE, vol. 87, no. 7, pp. 1079-1107, 1999.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.