Advertisement

A blind watermarking algorithm based on adaptive quantization in Contourlet domain

  • Di FanEmail author
  • Ying Wang
  • Chunwei Zhu
Article
  • 8 Downloads

Abstract

Aiming at the copyright protection of digital works, a blind watermarking algorithm in Contourlet domain based on adaptive quantization is proposed. The algorithm adaptively regulates quantization step size in the Contourlet domain according to the mean of each sub block, so that the embedding strength of watermark can better adapt to the characteristics of each sub block. Before extracting watermark, the rotation correction algorithm has been applied in processing image, which greatly improves the ability of blind watermarking algorithm to resist rotation attacks. Many anti attack experiments are carried out on the proposed algorithm. The results show that the algorithm has good robustness, and it has distinctness advantages in anti JPEG compression, Gauss noise, shear and rotation attack.

Keywords

Contourlet transform Singular value decomposition Blind digital watermarking Adaptive quantization 

Notes

Acknowledgements

This paper partially aided by Shandong Province Young Scientist Foundation (BS2012DX034), China Postdoctoral Science Foundation (2012 M521361), Shandong Province Natural Science Foundation (ZR2012EEM021), Project of Shandong Province Higher Educational Science and Technology Program (J13LN17), SDUST Research Fund (2010KYTD101), and Project of South Africa/China Research Collaboration in Science and Technology (2012DFG71060).

References

  1. 1.
    Baaziz N (2005) Adaptive watermarking schemes based on a redundant contourlet transform[C]. International conference on image processing 221–224Google Scholar
  2. 2.
    Bi H, Li X, Zhang Y et al (2010) A blind robust watermarking scheme based on CT and SVD[C] IEEE, international conference on signal processing. IEEE 881–884Google Scholar
  3. 3.
    Cai N, Zhu N, Weng S et al (2015) Difference angle quantization index modulation scheme for image watermarking[J]. Signal Process Image Commun 34:52–60CrossRefGoogle Scholar
  4. 4.
    Huang Z, He X (2014) Contourlet domain watermarking algorithms based on Arnold scrambling and singular value decomposition. International Conference on Mechatronic Sciences. IEEE.Google Scholar
  5. 5.
    Chen ST, Huang HN, Kung WM et al (2016) Optimization-based image watermarking with integrated quantization embedding in the wavelet-domain[J]. Multimed Tools Appl 75(10):5493–5511CrossRefGoogle Scholar
  6. 6.
    Hosseini SA, Ghofrani S (2014) Digital Watermarking based on Contourlet-SVD[J]. Majlesi. J Electr Eng 8(1):63–68Google Scholar
  7. 7.
    Huang Z, He X (2014) Contourlet domain watermarking algorithms based on Arnold scrambling and singular value decomposition[C]. International conference on mechatronic sciences, electric engineering and computer. IEEE 874–878Google Scholar
  8. 8.
    Idrissi N, Roukhe A (2014) Robust watermarking method based on contourlet transform, maximum entropy, and SVD decomposition. International Conference on Multimedia Computing & Systems. IEEE.Google Scholar
  9. 9.
    Jiang Y, Zhang Y, Pei W et al (2013) Adaptive spread transform QIM watermarking algorithm based on improved perceptual models . AEU-Int J Electron Commun 67(8):690–696Google Scholar
  10. 10.
    Li Y, Sun J, Li C (2012) Robust image Watermarking algorithm based on Contourlet transform and SVD decomposition[J]. Comput Sci Appl 02(05):262–265Google Scholar
  11. 11.
    Liu D, Liu W, Zhang G (2008) An adaptive watermarking scheme based on nonsubsampled Contourlet transform for color image authentication[C]// young computer scientists, 2008. Icycs 2008. The, international conference for. IEEE 748–752Google Scholar
  12. 12.
    Luo P, Wei P, Liu YQA (2013) Color digital watermarking in nonsampled Contourlet domain using generic algorithm[C]// international conference on intelligent NETWORKING and collaborative systems. IEEE computer society 673–676Google Scholar
  13. 13.
    Najih A, Al-Haddad SAR, Ramli AR et al (2016) Digital image watermarking based on angle quantization in discrete contourlet transform[J]. Journal of King Saud University - Computer and Information Sciences 29(3)Google Scholar
  14. 14.
    Nguyen SC, Ha KH, Nguyen HM. A new image watermarking scheme using contourlet transforms[C]// ICITEE2018. IEEE 1–6Google Scholar
  15. 15.
    Qin CA (2014) Novel digital watermarking algorithm in Contourlet domain[J]. Journal of Information & Computational Science 11(2):519–526CrossRefGoogle Scholar
  16. 16.
    Ramanjaneyulu K, Rajarajeswari K (2012) DCT based robust image watermarking scheme using adaptive quantization index modulation and genetic algorithm[J]. Int J Comput Appl:81–84Google Scholar
  17. 17.
    Seo YH, Choi HJ, Yoo JS et al (2010) Adaptive Watermarking scheme using biased shift of quantization index.[J]. J Electr Comput Eng:5–8Google Scholar
  18. 18.
    Wu G, Wei DW, Tang GM et al (2013) Adaptive semi-fragile Watermarking based on complete quantization and image contents[J]. Appl Mech Mater 347-350(347–350):2983–2988CrossRefGoogle Scholar
  19. 19.
    Yong YU (2017) Contourlet domain Watermarking algorithm based on singular value decomposition[J]. Packag Eng 7:202–205Google Scholar
  20. 20.
    Zareian M, Daneshkhah A (2012) Adaptive angle quantization index modulation for robust image watermarking[C]. Global communications conference. IEEE 881–884Google Scholar
  21. 21.
    Zhang FY, Quan HL, Lin LY et al (2012) Robust digital watermark algorithm in Contourlet domain based on singular value decomposition[J]. Application Research of Computers 29(4):1402–1401Google Scholar
  22. 22.
    Zhu X, Zhao J, Xu HA (2006) Digital watermarking algorithm and implementation based on improved SVD[C]// international conference on pattern recognition. IEEE computer society 651–656Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Shandong University of Science and TechnologyQingdaoChina

Personalised recommendations