Skip to main content
SpringerLink
Log in

Adaptive Robust Watermarking Algorithm Based on DCT and SVD in Curvelet Domain

  • Conference paper
  • First Online:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 88))

  • 55 Accesses

Abstract

In order to realize the copyright protection and proof of ownership of the digital multimedia products, this paper proposes an adaptive robust watermarking algorithm based on DCT and SVD in Curvelet domain. Firstly, the color image is converted from RGB space to Lab space and the L component is extracted using Curvelet transform. Then the sixth layer high frequency sub-band of Curvelet transform is divided into nonoverlapping sub-blocks of size 8 × 8 by using DCT and Singular Value Decomposition (SVD) is performed on each sub-block. Finally, the encrypted watermark image is adaptively embedded in the maximum singular value of each sub-block according to the texture complexity based on L component and the energy distribution of the DCT coefficients. The experimental results show that the proposed algorithm has better performance in terms of imperceptibility, and also has strong robustness against different kinds of attacks, such as cropping, median filtering, motion blur, salt & pepper noise and JPEG compression attacks in comparison with other related existing methods.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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

References

  1. Singh, P., Agarwal, S.: A hybrid DCT-SVD based robust watermarking scheme for copyright protection. In: 2013 Africon, pp. 1–5. IEEE (2013)

    Google Scholar 

  2. Singh, D., Singh, S.K.: DWT-SVD and DCT based robust and blind watermarking scheme for copyright protection. Multimed. Tools Appl. 76(11), 13001–13024 (2016). https://doi.org/10.1007/s11042-016-3706-6

    Article  Google Scholar 

  3. Parah, S.A., Sheikh, J.A.: Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing. Digital Signal Process. 53, 11–24 (2016)

    Article  Google Scholar 

  4. Keshavarzian, R., Aghagolzadeh, A.: ROI based robust and secure image watermarking using DWT and Arnold map. AEU-Int. J. Electron. Commun. 70(3), 278–288 (2016)

    Article  Google Scholar 

  5. Fazli, S., Moeini, M.: A robust image watermarking method based on DWT, DCT, and SVD using a new technique for correction of main geometric attacks. Optik 127(2), 964–972 (2016)

    Google Scholar 

  6. Sadreazami, H., Ahmad, M.O.: Multiplicative watermark decoder in contourlet domain using the normal inverse Gaussian distribution. IEEE Trans. Multimed. 18(2), 196–207 (2015)

    Article  Google Scholar 

  7. Wang, X., Liu, Y., Xu, H., et al.: Blind optimum detector for robust image watermarking in nonsubsampled shearlet Domain. Inf. Sci. 372, 634–654 (2016)

    Article  Google Scholar 

  8. Lu, R.B., Chen, L.Y., Ding, L., et al.: Adaptive and robust watermarking scheme based on contourlet domain coefficients suppositional tree model and FOA-SVR. Acta Electron. Sin. 45(3), 674–679 (2017)

    Google Scholar 

  9. Wang, X.Y., Li, L., Li, H.F., et al.: A Blind watermark decoder in DT CWT domain using multivariate bessel K form distribution. J. Comput 42(5), 1112–1125 (2019)

    Google Scholar 

  10. Chen, B.J., Zhou, C.F., Wang, J.W., et al.: Color image adaptive watermarking algorithm based on fractional quaternion Fourier transform and genetic algorithm. J. South East Univ 47(5), 884–891 (2017)

    MATH  Google Scholar 

  11. Kang, X.-B., Zhao, F., Lin, G.-F., Chen, Y.-J.: A novel hybrid of DCT and SVD in DWT domain for robust and invisible blind image watermarking with optimal embedding strength. Multimed. Tools Appl. 77(11), 13197–13224 (2017). https://doi.org/10.1007/s11042-017-4941-1

    Article  Google Scholar 

  12. Veni, M., Meyyappan, T.: Digital image Watermark embedding and extraction using oppositional fruit Fly algorithm. Multimed. Tools Appl. 78(19), 27491–27510 (2019). https://doi.org/10.1007/s11042-019-7650-0

    Article  Google Scholar 

  13. Singh, P., Raman, B., Misra, M.: A secure image sharing scheme based on SVD and ,rm. Signal Process. Image Commun. 57, 46–59 (2017)

    Article  Google Scholar 

  14. Zheng, W., Mo, S., Jin, X., et al.: Robust and high capacity watermarking for image based on DWT-SVD and CNN. In: 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1233–1237. IEEE (2018)

    Google Scholar 

Download references

Acknowledgments

This work was supported by National key R&D projects (2017YFC0803805); Science and Technology Project Fund under Ministry of Public Security of China (2019GABJC41), National Natural Science Fund of China (61801381), and the graduate innovation fund major project of Xi’an University of Posts and Telecommunications (CXJJLD2019023).

Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Ying Liu, Xing Yang, Tingge Zhu & Jiulun Fan

  2. Key Laboratory of Electronic Information Applications Technology for Scene Investigation, Ministry of Public Security, Xi’an, 710121, China

    Ying Liu & Tingge Zhu

Authors
  1. Ying Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xing Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tingge Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jiulun Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Hongying Meng

  2. School of Electronical Information and Artificial Engineering, Shaanxi University of Science and Technology, Xi’an, China

    Tao Lei

  3. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Maozhen Li

  4. College of Electrical and Information, Hunan University, Changsha, China

    Kenli Li

  5. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Västmanlands Län, Sweden

    Ning Xiong

  6. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

1 Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (MP4 26927 kb)

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Y., Yang, X., Zhu, T., Fan, J. (2021). Adaptive Robust Watermarking Algorithm Based on DCT and SVD in Curvelet Domain. In: Meng, H., Lei, T., Li, M., Li, K., Xiong, N., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-70665-4_101

Download citation

Publish with us

Policies and ethics

Search

Navigation