Signal, Image and Video Processing

, Volume 7, Issue 4, pp 799–807

A robust blind watermarking method using quantization of distance between wavelet coefficients

Original Paper


In this paper, we propose a robust blind watermarking algorithm based on quantization of distance among wavelet coefficients for copyright protection. We divide wavelet coefficients into some blocks and obtain the first, second, and third maximum coefficients in each block. Then, we quantize the first and second maximum coefficients according to binary watermark bits. Using the block-based watermarking, we can extract the watermark without using the original image or watermark. The algorithm as a watermarking system has appropriate performance due to imperceptibility. In addition, experimental results also show that the proposed method is quite robust under either non-geometry or geometry attacks.


Watermarking Copyright protection Wavelet coefficient Quantization Geometric attack Non-geometric attack 


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  1. 1.
    Wolfgang R.B., Delp E.J.: A watermarking for digital image. in: IEEE Int. Conf. Image Process. 3, 219–222 (1996)CrossRefGoogle Scholar
  2. 2.
    Cox I.J., Kilian J., Leighton F.T., Shamoon T.: Secure spread spectrum watermarking for multimedia. in: IEEE Trans. Image Process. 6, 1673–1687 (1997)CrossRefGoogle Scholar
  3. 3.
    Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for images, audio and video. In: Proceedings of the IEEE ICIP, Lausanne, Vol. 6, pp. 243–246 (1996)Google Scholar
  4. 4.
    Wang S.H., Lin Y.P.: A wavelet tree quantization for copyright protection watermarking. in: IEEE Trans. Image Process. 2(13), 154–165 (2004)CrossRefGoogle Scholar
  5. 5.
    Li, E., Liang, H., Niu, X.: An integer wavelet based multiple logo watermarking scheme. In: Proceedings of the IEEE WCICA, pp. 10256–10260 (2006)Google Scholar
  6. 6.
    Lien, B.K., Lin, W.H.: A watermarking method based on maximum distance wavelet tree quantization. In 19th Conference on Computer Vision, Graphics and Image Processing, pp. 269–276 (2006)Google Scholar
  7. 7.
    Lin W.H., Horng S.J., Kao T.W., Fan P., Lee C.L., Pan Y.: A wavelet-tree-based watermarking method using distance vector of binary cluster. J. Expert Syst. Appl. 36(13), 9869–9878 (2004)Google Scholar
  8. 8.
    Lin W.H., Wang Y.R., Horng S.J., Kao T.W., Pan Y.: A blind watermarking method using maximum wavelet coefficient quantization. J. Expert Syst. Appl. 36, 11509–11516 (2009)CrossRefGoogle Scholar
  9. 9.
    Yang, W.M., Jin, Z.: Watermarking algorithm based on wavelet and cosine transform for color image. in: IEEE International Conference on First International Workshop on Education Technology and Computer Science, pp. 899–903 (2009)Google Scholar
  10. 10.
    Solachidis V., Pitas L.: Circularly symmetric watermark embedding in 2-D DFT domain. in: IEEE Trans. Image Process. 10(10), 1741–1753 (2001)MATHCrossRefGoogle Scholar
  11. 11.
    Podilchuk C.I., Zeng W.: Image-adaptive watermarking using visual models. in: IEEE J. Sel. Areas Commun. 16(4), 525–539 (1998)CrossRefGoogle Scholar
  12. 12.
    Barni M., Bartolini F., Piva A.: Improved wavelet based watermarking through pixel-wise masking. in: IEEE Trans. Image Process. 10, 783–791 (2001)MATHCrossRefGoogle Scholar
  13. 13.
    Langelaar G.C., Lagendijk R.L.: Optimal differential energy watermarking of DCT encoded images and video. in: IEEE Trans. Image Process. 10(1), 148–158 (2001)MATHCrossRefGoogle Scholar
  14. 14.
    Hu, Y., Liu, W., Deng, Y.: Readable watermarking algorithm based on wavelet tree quantization. In: Proceedings on IEEE ICCCAS, pp. 579–583 (2004)Google Scholar
  15. 15.
    USC.SIPI-The USC-SIPI. Image database. [online] (2008)

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Electrical Engineering DepartmentAzad University, South Tehran BranchTehranIran

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