Advertisement

A Practical Print-and-Scan Resilient Watermarking for High Resolution Images

  • Yongping Zhang
  • Xiangui Kang
  • Philipp Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5450)

Abstract

Detecting the watermark from the rescanned image is still a challenging problem, especially for high resolution image. After printing and scanning, an image usually suffers global geometric distorts ( such as rotation, scaling, translation and cropping), local random nonlinear geometric distortions which is simulated in Random Bending function of Stirmark, as well as nonlinear pixel value distortions. The combination of both of the latter distortions is called nonlinear distortions. Many watermarking techniques, including the pilot-based watermarking techniques, are robust against the global geometric distortions but sensitive to the nonlinear distortions. Local random nonlinear geometric distortions remain a tough problem for image watermarking. In the setting of print-and-scan process, it becomes severer as combining with nonlinear pixel value distortions. This may defeat a watermarking scheme, especially for the print-scanning of high resolution image. This paper proposes an effective pilot-based watermarking algorithm for the print-and-scan process. After careful analysis of the print-and-scan process, the pilot signal and the watermark are embedded and detected in the down-sampled low resolution image to deal with the combination of local random nonlinear geometric distortions and nonlinear pixel value distortions. Theoretical analysis and experimental results demonstrate the proposed algorithm is robust to the print-and-scan process and at low computational complexity. The major contribution of this paper is that we analyze the impact of nonlinear distortions in print-and-scan process and propose an effective watermarking scheme to conquer it. To our best knowledge, our work also first addresses the issues of print-and-scan resilient watermarking for high resolution images.

Keywords

Print-and-scan watermark non-linear distortions robustness 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lin, C.Y., Wu, M., Bloom, J.A., Cox, I.J., Miller, M.L., Lui, Y.M.: Rotation, Scale and Translation Resilient Watermarking for Images. IEEE Transactions on Image Processing 10(5), 767–782 (2001)CrossRefzbMATHGoogle Scholar
  2. 2.
    O’Ruanaidh, J., Pun, T.: Rotation, Scale and Translation Invariant Spread Spectrum Digital Image Watermarking. Signal Processing 66(3), 303–317 (1998)CrossRefzbMATHGoogle Scholar
  3. 3.
    Su, P.C., Jay Kuo, C.C.: Synchronized Detection of The Block-Based Watermark with Invisible Grid Embedding. In: SPIE Photonics West, Security and Watermarking of Multimedia Contents III, San Jose, California (2001)Google Scholar
  4. 4.
    Kutter, M.: Watermarking Resisting to Translation, Rotation and Scaling. In: Proceedings of the SPIE: Multimedia systems and applications, Boston, USA, vol. 3528, pp. 423–431 (1998)Google Scholar
  5. 5.
    Voloshynovskiy, S., Deguillaume, F., Pun, T.: Multibit watermarking robust against local nonlinear geometrical distortions. In: IEEE International Conference on Image Processing 2001, Thessaloniki, Greece, pp. 999–1002 (2001)Google Scholar
  6. 6.
    Lin, C.Y., Chang, S.F.: Distortion Modeling and Invariant Extraction for Digital Image Print-and-Scan Process. In: Int. Symposium on Multimedia Information Processing (1999)Google Scholar
  7. 7.
    Yu, L., Niu, X., Sun, S.: Print-and-Scan Model and the Watermarking Countermeasure. Image and Vision Computing 23, 807–814 (2005)CrossRefGoogle Scholar
  8. 8.
    Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)CrossRefGoogle Scholar
  9. 9.
    Solanki, K., Madhow, U., Manjunath, B.S., Chandrasekaran, S., El-Khalil, I.: Print and Scan Resilient Data Hiding in Images. IEEE Transactions on Information Forensics and Security 1(4), 464–478 (2006)CrossRefGoogle Scholar
  10. 10.
    Cheng, Q., Huang, T.S.: Robust Optimum Detection of Transform Domain Multiplicative Watermarks. IEEE Transactions on Signal Processing 51(4), 906–924 (2003)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Kang, X., Zhong, X., Huang, J., Zeng, W.: An Efficient Print-Scanning Resilient Data Hiding Based on a Novel LPM. In: IEEE International Conference on Image Processing 2008, San Digeo, CA, USA (2008)Google Scholar
  12. 12.
    Liu, W., Dong, L., Zeng, W.: Optimum Detection for Spread-Spectrum Watermarking That Employs Self-Masking. IEEE Transactions on Information Forensics and Security 2(4), 457–460 (2007)CrossRefGoogle Scholar
  13. 13.
    He, D., Sun, Q.: A Practical Print-Scan Resilient Watermarking Scheme. In: IEEE International Conference on Image Processing 2005, vol. 1, pp. 257–260 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yongping Zhang
    • 1
  • Xiangui Kang
    • 2
  • Philipp Zhang
    • 3
  1. 1.Research DepartmentHisilicon Technologies Co., LtdBeijingChina
  2. 2.School of Infor. Sci. and Tech.Sun Yat-Sen UniversityGuangzhouChina
  3. 3.Research DepartmentHisilicon Technologies Co., LtdPlanoUSA

Personalised recommendations