Advertisement

Curvelet-Domain Image Watermarking Based on Edge-Embedding

  • Thai Duy Hien
  • Ikeda Kei
  • Hanane Harak
  • Yen Wei Chen
  • Yasunori Nagata
  • Zensho Nakao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

A new curvelet-based watermarking technique is presented in this paper, in which watermark signals are selected to be a gray-scale logo image. The curvelet transform was developed in order to represent edges along curves much more efficiently than the traditional transforms. We apply the transform to watermarking and evaluate the effectiveness of the method. Our watermarking algorithm embeds a watermark in curvelet coefficients which are selected by a criterion whether they contain as much edge information as possible. We evaluated the effectiveness of the method against some watermark attacks. Experiment results show that our new method yields quite good visual quality in watermarked images, and is robust to typical signal processing attacks such as compression, cropping, adding noise and filtering.

Keywords

Discrete Cosine Transform Normalization Correlation Edge Information Watermark Method Watermark Algorithm 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Donoho, D.L., Duncan, M.R.: Digital curvelet transform: Strategy, implementation an experiments. In: Proc. SPIE, vol. 4056, pp. 12–29 (2000)Google Scholar
  2. 2.
    Candes, E.J., Demanet, L., Donoho, D.L., Ying, L.: Fast Discrete Curvelet Transforms, Tech. Report, Calif. Inst. of Tech. (2005)Google Scholar
  3. 3.
    Starck, J.L., Candes, E., Donoho, D.L.: The Curvelet Transform for Image Denoising. IEEE Trans. Image Proc. 11(6), 670–684 (2002)MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Starck, J.L., Murtagh, F., et al.: A DCT domain system for robust image watermarking, Signal Proc., pp. 357–372 (1998) (Special Issue in Copyright Protection and Access Control for Multimedia Services)Google Scholar
  5. 5.
    Dugad, R., Ratakonda, K., et al.: A new wavelet-based scheme for watermarking images. In: ICIP 98. Proc., IEEE Inter., Conf., on Image Proc, Chicago, IL, USA, pp. 419–423. IEEE Computer Society Press, Los Alamitos (October 1998)Google Scholar
  6. 6.
    Hien, T.D., Nakao, Z., Chen, Y.-W.: Robust digital watermarking based on principal component analysis, Internat. Internat. J. Comput. Intell, Appl. 4(2), 183–192 (2004)CrossRefGoogle Scholar
  7. 7.
    Cand‘es, E.J., Donoho, D.L.: New tight frames of curvelets and optimal representations of objects with piecewise-C2 singularities. Comm. on Pure and Appl. Math. 57, 219–266 (2004)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Starck, J.L., Donoho, D.L., Candes, E.J.: Astronomical Image Representation by the Curvelet Transform. Astronomy and astrophysics(Berlin. Print) 398, 785–800 (2003)CrossRefGoogle Scholar
  9. 9.
    Campisi, P., Kundur, D., Neri, A.: Robust Digital Watermarking in the Ridgelet Domain. IEEE Signal Processing Letters 11(10), 826–830 (2004)CrossRefGoogle Scholar
  10. 10.
    Starck, J.-L., Murtagh, F., Candes, E., Donoho, D.L.: Gray and Color Image Contrast Enhancement by the Curvelet Transform. IEEE Transaction on Image Processing 12(6), 706–717 (2003)MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Hien, T.D., Nakao, Z., Chen, Y.-W.: Robust multi-logo watermarking by RDWT and ICA. Signal Processing archive 86, 2981–2993 (2005)CrossRefzbMATHGoogle Scholar
  12. 12.
    Hien, T.D., Nakao, Z., Chen, Y.-W.: RDWT/ICA for Image Authentication. In: The 5th IEEE International Symposium on Signal Processing and Information Technology, AthensGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Thai Duy Hien
    • 1
  • Ikeda Kei
    • 1
  • Hanane Harak
    • 1
  • Yen Wei Chen
    • 2
  • Yasunori Nagata
    • 1
  • Zensho Nakao
    • 1
  1. 1.Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213Japan
  2. 2.College of Information, Science and Engineering, Ritsumeikan University, Shiga 525-8577Japan

Personalised recommendations