Robust Digital Image Watermarking in DWT-SVD Domain

  • Mingli Zhang
  • Qiang Zhang
  • Changjun Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7003)


Digital multimedia content protection has increasingly become an important issue. Because image watermarking is identified as a major technology used in copyright protection, a key requirement for image watermarking is the development of its imperceptibility and robustness. To meet this requirement, a novel robust image watermarking scheme based on discrete wavelet transform (DWT), singular value decomposition (SVD), and chaotic mixtures is proposed in this paper, In this method, the singular values of the encrypt watermark are embedded on the singular values of the important inscribed circle domain of normalized cover image’s DWT sub-bands. Experimental results illustrate that this approach is robust to a wide range of attacks, especially geometrical attacks.


Singular Value Decomposition Discrete Cosine Transform Discrete Wavelet Transform Cover Image Image Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Sang, J., Alam, M.S.: Fragility and robustness of binary-phase-only-filter-based fragile/semifragile digital image watermarking. IEEE Trans. Instrum. Meas. 57(3), 595–606 (2008)CrossRefGoogle Scholar
  2. 2.
    Wu, H.-T., Cheung, Y.-M.: Reversible watermarking by modulationand security enhancement. IEEE Trans. Instrum. Meas. 59(1), 221–228 (2010)CrossRefGoogle Scholar
  3. 3.
    Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Morgan Kaufmann Publishers, San Francisco (2002)Google Scholar
  4. 4.
    Podilchuk, C.I., Delp, E.J.: Digital Watermarking: Algorithms and Applications. IEEE Signal Processing Magazine, 33–46 (July 2001)Google Scholar
  5. 5.
    Lin, E.T., Eskicioglu, A.M., Lagendijk, R.L., Delp, E.J.: Advances in Digital Video Content Protection. Proceedings of the IEEE, Special Issue on Advances in Video Coding and Delivery (2004)Google Scholar
  6. 6.
    Hartung, F., Kutter, M.: Multimedia Watermarking Techniques. Proceedings of the IEEE 87(7), 1079–1107 (1999)CrossRefGoogle Scholar
  7. 7.
    Liu, R., Tan, T.: An SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans. Multimedia 4(1), 121–128 (2002)CrossRefGoogle Scholar
  8. 8.
    Nikolaidis, A., Pitas, I.: Asymptotically optimal detection for additive watermarking in the DCT and DWT domains. IEEE Trans. Image Process. 12(5), 563–571 (2003)CrossRefGoogle Scholar
  9. 9.
    Andrews, H.C., Patterson, C.L.: Singular Value Decomposition (SVD) Image Coding. IEEE Transactions on Communications 24(4), 425–432 (1976)CrossRefGoogle Scholar
  10. 10.
    Garguir, N.: Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images. IEEE Transactions on Communications 27(8), 1230–1234 (1979)CrossRefGoogle Scholar
  11. 11.
    O’Leary, D.P., Peleg, S.: Digital Image Compression by Outer Product Expansion. IEEE Transactions on Communications 31(3), 441–444 (1983)CrossRefGoogle Scholar
  12. 12.
    Yang, J.F., Lu, C.L.: Combined Techniques of Singular Value Decomposition and Vector Quantization. IEEE Transactions on Image Processing 4(8), 1141–1146 (1995)CrossRefGoogle Scholar
  13. 13.
    Waldemar, P., Ramstad, T.A.: Hybrid KLT-SVD Image Compression. In: 1997 IEEE International Conference on Acoustics, Speech and Signal Processing, Munich, Germany, April 21-24, vol. 4, pp. 2713–2716 (1997)Google Scholar
  14. 14.
    Aase, S.O., Husoy, J.H., Waldemar, P.: A Critique of SVD-Based Image Coding Systems. In: 1999 IEEE International Symposium on Circuits and Systems VLSI, Orlando, FL, vol. 4, pp. 13–16 (May 1999)Google Scholar
  15. 15.
    Gorodetski, V.I., Popyack, L.J., Samoilov, V., Skormin, V.A.: SVD-based Approach to Transparent Embedding Data into Digital Images. In: International Workshop on Mathematical Methods, Models and Architectures for Computer Network Security (MMM-ACNS 2001), St. Petersbug, Russia, May 21-23 (2001)Google Scholar
  16. 16.
    Chandra, D.V.S.: Digital Image Watermarking Using Singular Value Decomposition. In: Proceedings of 45th IEEE Midwest Symposium on Circuits and Systems, Tulsa, OK, pp. 264–267 (August 2002)Google Scholar
  17. 17.
    Liu, R., Tan, T.: A SVD-Based Watermarking Scheme for Protecting Rightful Ownership. IEEE Transactions on Multimedia 4(1), 121–128 (2002)CrossRefGoogle Scholar
  18. 18.
    Aslantas, V., Dogan, L.A., Ozturk, S.: DWT-SVD based image water-marking using particle swarm optimizer. In: Proc. IEEE Int. Conf. Multi-media Expo, Hannover, Germany, pp. 241–244 (2008)Google Scholar
  19. 19.
    Bhatnagar, G., Raman, B.: A new robust reference watermarking scheme based on DWT-SVD. Compute. Standards Interfaces 31(5), 1002–1013 (2009)CrossRefGoogle Scholar
  20. 20.
    Ganic, E., Eskicioglu, A.M.: Robust DWT-SVD domain image water-marking: Embedding data in all frequencies. In: Proc. Workshop Multime-dia Security, Magdeburg, Germany, pp. 166–174 (2004)Google Scholar
  21. 21.
    Li, Q., Yuan, C.,, Y.: -Z. Zhong, “Adaptive DWT-SVD domain image watermarking using human visual model. In: Proc. 9th Int. Conf. Adv. Commun. Technol., Gangwon-Do, South Korea, pp. 1947–1951 (2007)Google Scholar
  22. 22.
    Liu, R., Tan, T.: An SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans. Multimedia 4(1), 121–128 (2002)CrossRefGoogle Scholar
  23. 23.
    Xue, X., Qiang, Z., et al.: A Digital Image Encryption Algorithm Based on DNA Sequence and Multi-Chaotic Maps. IEEE Neural Network World (2008)Google Scholar
  24. 24.
    Son, Y.H., You, B.J., Oh, S.R., et al.: Affine-invariant image normalization for Log-Polar Images using momentums. In: Proceedings of the 2002 International Conference on Control, Automation, and Systems, Gyeongju, Korea, pp. 1140–1145 (2003)Google Scholar
  25. 25.
    Lai, C.-C., Tsai, C.-C.: Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition. IEEE Transactions on Instrumentation and Measurement (May 22, 2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mingli Zhang
    • 1
  • Qiang Zhang
    • 1
  • Changjun Zhou
    • 1
  1. 1.Key Laboratory of Advanced Design and Intelligent Computing(Dalian university) Ministry of EducationDalianChina

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