Skip to main content
SpringerLink
Log in

Watermarking Hardware Based on Wavelet Coefficients Quantization Method

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

Progress in the digital multimedia technologies during the last decade has offered many facilities in the transmission, reproduction, and manipulation of data. However, this advancement has also brought the problem such as copyright protection for content providers. Digital watermarking is a proposed solution for copyright protection for multimedia. The goal of hardware assisted watermarking is to achieve low power usage, real-time performance, reliability, and ease of integration with existing consumer electronic devices. An efficient architecture for transform domain watermarking using quantization approach is proposed here. This architecture is optimized using pipelining. The main objective of this paper is to propose a very-large-scale integration (VLSI) architecture for robust and blind image watermarking chip. Watermarking architectures with and without pipeline are synthesized using Xilinx’s ISE for a field-programmable gate array (FPGA), and then semi-custom integrated chip is designed using UMC 0.18 μm technology standard cell library for both these architectures. The proposed optimized pipelined watermarking encoder core requires 0.027 mm2 area and 0.074 mW power.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  1. I.J. Cox, J. Kilian, F.T. Leighton, T. Shamoon, Secure spread spectrum watermarking for multimedia, Proc.-IEEE Int. Conf. Image Process., 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  2. G. Doerr, J.L. Dugelay, A guide tour of video watermarking. Signal Process., Image Commun. 18(4), 263–282 (2003)

    Article  Google Scholar 

  3. Y.C. Fan, L.D. Van, C.M. Huang, H.W. Tsao, Hardware-efficient architecture design of wavelet-based adaptive visible watermarking, in Proc. 9th IEEE Symp. on Consumer Electronics (2005), pp. 399–403

    Google Scholar 

  4. T. Hu, J. Wei, A digital video watermarking scheme based on 1D-DWT, in Biomedical Engineering and Computer Sciences (2010), pp. 1–3

    Google Scholar 

  5. S. Karmani, R. Djemal, R. Tourki, Efficient hardware architecture of 2-d-scan-based wavelet watermarking for image and video. Comput. Stand. Interfaces 31(4), 801–811 (2009)

    Article  Google Scholar 

  6. E. Kougianos, S.P. Mohanty, R.N. Mahapatra, Hardware assisted watermarking for multimedia. Comput. Electr. Eng. 35(2), 339–358 (2008)

    Article  Google Scholar 

  7. D. Kunder, Improved digital watermarking through diversity and attack characterization, in Proc. of ACM Workshop on Multimedia Security (1999)

    Google Scholar 

  8. X. Li, Y. Shoshan, A. Fish, G. Jullien, O. Yadid-Pecht, Hardware implementation of video watermarking, in International Book Series on Information Science and Computing (2008), pp. 9–16

    Google Scholar 

  9. W.H. Lin, S.J. Horng, T.W. Kao, P. Fan, C.L. Lee, Y. Pan, An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Trans. Multimed. 10(5), 746–757 (2008)

    Article  Google Scholar 

  10. N.J. Mathai, D. Kunder, A. Sheikholeslami, Hardware implementation perspective of digital watermarking algorithms. IEEE Trans. Signal Process. 51(4), 925–938 (2003)

    Article  Google Scholar 

  11. S.P. Mohanty, E. Kougianos, N. Ranganathan, VLSI architecture and chip for combined invisible and fragile watermarking. IET Comput. Digit. Tech. (CDT) 1(5), 600–611 (2007)

    Article  Google Scholar 

  12. D. Profrock, M. Schluwaeg, E. Muller, A new uncompressed-domain video watermarking approach robust to h. 264/avc compression, in Proc. IASTED Conf. Signal Processing, Pattern Recognition/Applications (2006), pp. 99–104

    Google Scholar 

  13. A. Sequeira, D. Kundur, Communications and information theory in watermarking: a survey, in Proc. of SPIE Multimedia System and Application IV, vol. 4518 (2001), pp. 216–227

    Chapter  Google Scholar 

  14. J.M. Shapiro, Embedded image coding using zero trees of wavelet coefficients. IEEE Trans. Signal Process. 41(12), 3445–3462 (1993)

    Article  MATH  Google Scholar 

  15. T.H. Tsai, C. Lu, A systems level design for embedded watermark technique using DSC systems, in Proc. of the IEEE International Workshop on Intelligent Signal Processing and Communication Systems (2001)

    Google Scholar 

  16. S. Voloshynovskiy, S. Pereira, T. Pun, J. Eggers, J. Su, Attacks on digital watermarks: classification, estimation-based attacks and benchmarks. IEEE Commun. Mag. 39(8), 118–126 (2001)

    Article  Google Scholar 

  17. C.-X. Wang, X. Nie, X. Wan, W.B. Wan, F. Chao, A blind video watermarking scheme based on DWT, in Intelligent Information Hiding and Multimedia Signal Processing (2009), pp. 434–437

    Google Scholar 

  18. L. Xie, G.R. Arce, Joint wavelet compression and authentification watermarking. Proc.-IEEE Int. Conf. Image Process., 2, 427–431 (1998)

    Google Scholar 

Download references

Acknowledgements

This research work is partially supported by SMDP-II project sponsored by DIT, MCIT, Government of India.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India

    A. D. Darji, S. N. Merchant & A. N. Chandorkar

  2. Electronics Engineering Department, S.V. National Institute of Technology, Surat, India

    T. C. Lad

Authors
  1. A. D. Darji
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. C. Lad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. N. Merchant
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. A. N. Chandorkar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. D. Darji.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Darji, A.D., Lad, T.C., Merchant, S.N. et al. Watermarking Hardware Based on Wavelet Coefficients Quantization Method. Circuits Syst Signal Process 32, 2559–2579 (2013). https://doi.org/10.1007/s00034-013-9550-2

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-013-9550-2

Keywords

Search

Navigation