A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT | SpringerLink
Skip to main content
Springer Nature Link
Log in

A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT

  • Conference paper
  • First Online:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

Abstract

Researching digital watermarking algorithms with better transparency and robustness is essential for protecting the copyright of medical images. Security issues in medical images are increasing day to day with the increase of health data all around the globe. This paper proposed a new algorithm image-based zero-watermarking using SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform). Firstly, by using the SURF features of the medical image are taken to perform watermark embedding and extraction. Then by using perceptual hashing and quantization to generate hashing sequences to capture semi-global geometric characteristics. Next, used chaotic maps to encrypt the watermarking and embed it in the medical image after extracting the final features which are used as a hash value. Finally, the correlation coefficient is used to measure the performance of the proposed algorithm with other algorithms against the embedded and extracted watermarking sequences. The experimental results show that the proposed algorithm is robust to many attacks such as clipping, JPEG compression, and filtering. It also has good resistance to attacks such as rotation and noise.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 28599
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 35749
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Lin, S.D., Chen, C.-F.: A robust DCT-based watermarking for copyright protection. IEEE Trans. Consum. Electron. 46(3), 415–421 (2000)

    Article  Google Scholar 

  2. Berghel, H., O’Gorman, L.: Protecting ownership rights through digital watermarking. Computer 29(7), 101–103 (1996)

    Article  Google Scholar 

  3. Al-Haj, A.: Combined DWT-DCT digital image watermarking. J. Comput. Sci. 3(9), 740–746 (2007)

    Article  Google Scholar 

  4. Suaib, N.M., Marhaban, M. H., Saripan, M.I., Ahmad, S.A.: Performance evaluation of feature detection and feature matching for stereo visual odometry using SIFT and SURF. In: 2014 IEEE Region 10 Symposium, April 2014

    Google Scholar 

  5. Bahrami, Z., Tab, F.A.: A new robust video watermarking algorithm based on SURF features and block classification. Multimedia Tools and Applications 77(1), 327–345 (2018)

    Article  Google Scholar 

  6. Manu, V.T., Mehtre, B.M.: Detection of copy-move forgery in images using segmentation and SURF. In: Advances in Signal Processing and Intelligent Recognition Systems, pp. 645–654. Springer, Cham (2016)

    Google Scholar 

  7. Shivakumar, B.L., Baboo, S.S.: Detection of region duplication forgery in digital images using SURF. Int. J. Comput. Sci. Issues (IJCSI) 8(4), 199 (2011)

    Google Scholar 

  8. Wang, W., et al.: A novel watermarking algorithm based on SURF and SVD. In: Applied Mechanics and Materials, vol. 303-306, pp. 2117–2121 (2013). Crossref. Web

    Article  Google Scholar 

  9. Cedillo-Hernandez, M., et al.: Robust object-based watermarking using SURF feature matching and DFT domain. Radioengineering 22(4), 1057–1071 (2013)

    Google Scholar 

  10. Bay, H., Tuytelaars, T., Van Gool, L.: Surf: speeded up robust features. In: European conference on computer vision. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Chu, Wai C.: DCT-based image watermarking using subsampling. IEEE Trans. Multimedia 5(1), 34–38 (2003)

    Article  Google Scholar 

  12. Hernandez, J.R., Amado, M., Perez-Gonzalez, F.: DCT-domain watermarking techniques for still images: detector performance analysis and a new structure. IEEE Trans. Image Process. 9(1), 55–68 (2000)

    Article  Google Scholar 

  13. Liu, F., Liu, Y.: A watermarking algorithm for digital image based on DCT and SVD. In: 2008 Congress on Image and Signal Processing, vol. 1. IEEE (2008)

    Google Scholar 

  14. Sverdlov, A., Dexter, S., Eskicioglu, A.M.: Robust DCT-SVD domain image watermarking for copyright protection: embedding data in all frequencies. In: 2005 13th European Signal Processing Conference. IEEE (2005)

    Google Scholar 

  15. Alotaibi, R.A., Elrefaei, L.A.: Text-image watermarking based on integer wavelet transform (IWT) and discrete cosine transform (DCT). Applied Computing and Informatics 15, 191–202 (2018)

    Article  Google Scholar 

  16. Agrwal, S.L., et al.: Improved invisible watermarking technique using IWT-DCT. In: 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO). IEEE (2016)

    Google Scholar 

  17. Liu, J., et al.: Medical image watermarking based on SIFT-DCT perceptual hashing. In: International Conference on Cloud Computing and Security. Springer, Cham (2018)

    Chapter  Google Scholar 

  18. Xu, B., Wang, J., Liu, G., Dai, Y.: Image copy-move forgery detection based on SURF. In: Proceedings of the International Conference on Multimedia Information Networking and Security (MINES), pp. 889–892 (2010)

    Google Scholar 

  19. Liu, J., Li, J., Ma, J., Sadiq, N., Bhatti, U.A., Ai, Y.: A robust multi-watermarking algorithm for medical images based on DTCWT-DCT and Henon map. Appl. Sci. 9, 700 (2019)

    Article  Google Scholar 

  20. Liu, J., et al.: Zero-watermarking algorithm for medical images based on dual-tree complex wavelet transform and discrete cosine transform. J. Med. Imaging Health Inform. 9(1), 188–194 (2019)

    Article  Google Scholar 

  21. Ahmed, N., Natarajan, T., Rao, K.: Discrete cosine transform. IEEE Trans. Comput. 23(1), 90–93 (1974)

    Article  MathSciNet  Google Scholar 

  22. Aggoun, A., Jalloh, I.: Two-dimensional DCT∕IDCT architecture. IEE Proc. – Comput. Digit. Tech. 150(1), 2 (2003)

    Article  Google Scholar 

  23. Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Trans. Comput. 100(1), 90–93 (1974)

    Article  MathSciNet  Google Scholar 

  24. Ece, C., Mullana, M.M.U.: Image quality assessment techniques pn spatial domain. IJCST 2(3), 177 (2011)

    Google Scholar 

Download references

Acknowledgment

This work is supported by the Key Reach Project of Hainan Province (ZDYF2018129), the National Natural Science Foundation of China (61762033), and the National Natural Science Foundation of Hainan (617048, 2018CXTD333).

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Hainan University, Haikou, 570228, China

    Saqib Ali Nawaz, Jingbing Li, Jialing Liu, Uzair Aslam Bhatti, Jingjun Zhou & Raza Muhammad Ahmad

  2. State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, 570228, Hainan Province, China

    Saqib Ali Nawaz, Jingbing Li, Jialing Liu, Uzair Aslam Bhatti, Jingjun Zhou & Raza Muhammad Ahmad

Authors
  1. Saqib Ali Nawaz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jingbing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jialing Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Uzair Aslam Bhatti
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jingjun Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Raza Muhammad Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jingbing Li .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

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

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nawaz, S.A., Li, J., Liu, J., Bhatti, U.A., Zhou, J., Ahmad, R.M. (2020). A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_118

Download citation

Publish with us

Policies and ethics

Search

Navigation