Skip to main content

Geometrically Invariant Watermarking Based on Local Generalized Orthogonalized Complex Moments

  • Conference paper
Software Engineering and Computer Systems (ICSECS 2011)

Abstract

This paper proposes a novel geometrically invariant watermarking scheme based on Hessian-Laplace detector and Bessel–Fourier moments. Firstly, Hessian-Laplace detector is adopted to extract feature points. Then, non-overlapped disks centered at feature points are generated. These disks are normalized for the invariance to rotation, scaling and translation distortions. Finally, the watermark is embedded in magnitudes of Bessel–Fourier moments of each disk via dither modulation to realize the robustness to common image processing operations and de-synchronization attacks. Simulation results demonstrate the proposed watermarking procedure has the superior and remarkable performance in imperceptibility and robustness to various attacks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Cox, I.J., Miller, M.L.: The first 50 years of electronic watermarking. In: EURASIP J. Appl. Signal Processing, pp. 126–132 (2002)

    Google Scholar 

  2. Zheng, D., Wang, S., Zhao, J.: RST Invariant Image Watermarking Algorithm With Mathematical Modeling and Analysis of the Watermarking Processes. IEEE Transactions on Image Processing, 1055–1068 (2009)

    Google Scholar 

  3. O’Ruanaidh, J., Pun, T.: Rotation, scale, and translation invariant digital image watermarking. Signal Processing, 303–317 (1998)

    Google Scholar 

  4. Singhal, N., Lee, Y.Y., Kim, C.S., Lee, S.U.: Robust image watermarking using local Zernike moments. Journal of Visual Communication and Image Representation, 408–419 (2009)

    Google Scholar 

  5. Bin, X., Ma, J.F., Xuan, W.: Image analysis by Bessel–Fourier moments. Pattern Recognition, 2620–2629 (2010)

    Google Scholar 

  6. Zheng, D., Liu, Y., Zhao, J., Saddik, A.E.: A survey of RST invariant image watermarking algorithm. ACM Comp. Surveys, 1–91 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tao, H., Mohamad Zain, J., Masroor Ahmed, M., Abdalla, A. (2011). Geometrically Invariant Watermarking Based on Local Generalized Orthogonalized Complex Moments. In: Mohamad Zain, J., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22170-5_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22170-5_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22169-9

  • Online ISBN: 978-3-642-22170-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics