Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 328))

Abstract

In this paper a human visual system (HVS) model guided least significant bit (LSB) watermarking approach for copyright protection is proposed. The projected algorithm can embed more information into less featured surrounded areas within the host image determined by phase congruency. Phase congruency offers a dimensionless quantity which is an excellent measure feature points with high information and low in redundancy within an image. The region with fewer features indicates the most trivial visible aspects of an image, so alteration within these areas will be less noticeable to any viewer. Furthermore the algorithm will be tested by means of imperceptibility and robustness. Thus a new spatial domain image watermarking scheme will be projected with higher bit capacity.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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.

References

  1. Kim, H.J., Macq, B.: Introduction to the special issue on authentication, copyright protection, and information hiding. IEEE Transactions on Circuits and Systems for Video Technology 13(8) (August 2003)

    Google Scholar 

  2. Garzia, F.: Handbook of Communications Security. WIT Press (2013)

    Google Scholar 

  3. Mohanty, S.P.: Digital Watermarking: A Tutorial Review, Report, Dept. of Electrical Engineering, Indian Institute of Science, Bangalore, India (1999), http://www.cs.unt.edu/~smohanty/research/Reports/MohantyWatermarkingSurvey1999.pdf

  4. Macq, B.R., Pitas, I.: Special Issue on Watermarking. Signal Process. 66(3), 281–282 (1998)

    Article  Google Scholar 

  5. Swanson, M.D., Kobayashi, M., Tewfik, A.H.: Multimedia Data Embedding and Watermarking Technologies. Proc. IEEE 86, 1064–1087 (1998)

    Article  Google Scholar 

  6. Acken, J.M.: How Watermarking Adds Value to Digital Content. Commun. ACM 41(7), 74–77 (1998)

    Article  Google Scholar 

  7. Low, S.H., Maxemchuk, N.F., Lapone, A.M.: Document Identification for Copyright Protection using Centroid Detection. IEEE Trans. on Commun. 46, 372–383 (1998)

    Article  Google Scholar 

  8. Basu, A., Das, T.S., Sarkar, S.K.: Robust Visual Information Hiding Framework Based on HVS Pixel Adaptive LSB Replacement (HPALR) Technique. International Journal of Imaging and Robotics 6(A11), 71–98 (2011) ISSN: 2231-525X

    Google Scholar 

  9. Basu, A., Sarkar, S.K.: On the Implementation of Robust Copyright Protection Scheme Using Visual Attention Model. Information Security Journal: A Global Perspective (Taylor & Francis Journal) 22(1), 10–20 (2013)

    Google Scholar 

  10. Keskinarkaus, A., Pramila, A., Seppänen, T.: Image watermarking with feature point based synchronization robust to print–scan attack. Journal of Visual Communication and Image Representation 23(3), 507–515 (2012)

    Article  Google Scholar 

  11. Jin, X., Kim, J.: Imperceptibility Improvement of Image Watermarking Using Variance Selection. In: Kim, T.-H., Mohammed, S., Ramos, C., Abawajy, J., Kang, B.-H., Ślęzak, D. (eds.) SIP/WSE/ICHCI 2012. CCIS, vol. 342, pp. 31–38. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  12. Jaseena, K.U., John, A.: Text Watermarking using Combined Image and Text for Authentication and Protection. International Journal of Computer Applications 20(4) (2011)

    Google Scholar 

  13. Morrone, M.C., Burr, D.C.: Feature detection in human vision: a phase-dependent energy model. Proc. R. Soc. Lond. B Biol. Sci. 235(1280), 221–245 (1988)

    Article  Google Scholar 

  14. Liu, R., Tan, T.: A SVD-Based Watermarking Scheme for Protecting Rightful Ownership. IEEE Transactions on Multimedia 4, 121–128 (2002)

    Article  Google Scholar 

  15. Aliwa, M.B., El-Tobely, T.E.-A., Fahmy, M.M., Nasr, M.E.S., El-Aziz, M.H.A.: Fidelity and Robust Digital Watermarking Adaptively Pixel based on Medial Pyramid of Embedding Error Gray Scale Images. IJCSNS (International Journal of Computer Science and Network Security) 10(6), 284–314 (2005)

    Google Scholar 

  16. Morrone, M.C., Burr, D.C.: Feature detection in human vision: A phase dependent energy model. Proc. R. Soc. Lond. B, Biol. Sci. 235(1280), 221–245 (1988)

    Article  Google Scholar 

  17. Kovesi, P.D.: Image features from phase congruency. Videre: Journal of Computer Vision Research 1, 1–26 (1999)

    Google Scholar 

  18. Lai, C.-C.: A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm. Digital Signal Processing 21, 522–527 (2011)

    Article  Google Scholar 

  19. Mielikainen, J.: LSB Matching Revisited. IEEE Signal Processing Letters 13(5), 285–287 (2006)

    Article  Google Scholar 

  20. Xu, H., Wang, J., Kim, H.J.: Near-optimal solution to pair-wise LSB matching via an immune programming strategy. Information Sciences 180, 1201–1217 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abhishek Basu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Basu, A. et al. (2015). On the Implementation of a Digital Watermarking Based on Phase Congruency. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12012-6_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics