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A Watermarking Scheme Based on Discrete Non-separable Wavelet Transform

  • Jianwei Yang
  • Xinge You
  • Yuan Yan Tang
  • Bin Fang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)

Abstract

This paper presents a novel method for constructing non-separable wavelet filters. The high frequency sub-bands of non-separable wavelet transform can reveal more features than that of the common used separable wavelet transform. Then, we describe a blind watermarking scheme which is based on discrete non-separable wavelet transform (DNWT). More coefficients of DNWT can add watermark than that of discrete separable wavelet transform (DSWT). Experiment results show that the DNWT watermarking scheme is robust to noising, JPEG compression, and cropping. Especially, it is more resistant to sharpening than DSWT scheme. Furthermore, by adjusting the threshold such that the number of the DSWT coefficients to embed watermark is not less than the number of the DNWT coefficients, the performance of DSWT to sharpening is still worse than the DNWT. Such adjustment also dramatically decreases the robustness of the DSWT scheme to noising.

Keywords

Watermark Image Watermark Scheme JPEG Compression Blind Watermark Scheme Separable Wavelet 
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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References

  1. 1.
    Daubechies, I.: Ten lectures on wavelets. CBMS-NSF Reg. Conf. Series on Appl. Math., vol. 61. SIAM, Philadelphia (1992)zbMATHGoogle Scholar
  2. 2.
    Dugad, R., Ratakonda, K., Ahuja, N.: A new wavelet-based scheme for watermarking images. In: Proceedings of the IEEE International Conference on Image Processing (Chicago), IL (1998)Google Scholar
  3. 3.
    He, W., Lai, M.: Examples of bivariate nonseparable compactly supported continuous wavelets. IEEE Trans. Image Process. 9, 949–953 (2000)CrossRefGoogle Scholar
  4. 4.
    Lu, C.-S., Liao, H.-Y.M.: Multipurpose watermarking for image authentication and protection. IEEE Trans. on image Process. 10, 1579–1592 (2001)zbMATHCrossRefGoogle Scholar
  5. 5.
    Pla, O.G., Delp, E.J.: A wavelet watermarking algorithm based on a tree structure. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents, vol. VI, pp. 19–22 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jianwei Yang
    • 1
    • 2
  • Xinge You
    • 1
    • 3
  • Yuan Yan Tang
    • 1
  • Bin Fang
    • 1
  1. 1.Department of Computer ScienceHong Kong Baptist University Kowloon TongHong Kong
  2. 2.Department of Computer ScienceHenan Institute of Finance and EconomicsZhengzhouP.R. China
  3. 3.Faculty of Mathematics and Computer ScienceHubei UniversityWuhanP.R. China

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