Skip to main content
Log in

A novel blind watermarking approach for medical image authentication using MinEigen value features

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Developing new watermarking approaches that consider special features of medical images become increasingly necessary. This paper proposes a new watermarking approach to ensure medical images authenticity, using MinEigen value features, chaotic sequence, and Quantization Index Modulation (QIM) in the spatial domain. The idea is to choose the 3 × 3 non overlapping blocks around MinEigen values points, then embed the watermark bits in these blocks using a novel blind way based on chaotic sequence and QIM. The proposed technique is purely blind and fast in terms of execution time. Experimental results demonstrate that the proposed approach is robust against all DICOM JPEG compression attacks while keeping high imperceptibility.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Agarwal N, Singh AK, Singh PK (2019) Survey of robust and imperceptible watermarking. Multimed Tools Appl:1–31

  2. Ali SA, Jawad MJ, Naser MA (2017) A semi-fragile watermarking-based image authentication. J Eng Appl Sci 12(6):1582–1589

    Google Scholar 

  3. Anand A, Singh K (2020) An improved DWT-SVD domain watermarking for medical information security. Computer Communications, 72–80

  4. Arumugham S, Rajagopalan S, Rayappan JBB, Amirtharajan R (2019) Tamper-resistant secure medical image carrier: an IWT–SVD–Chaos–FPGA combination. Arab J Sci Eng 44:9561–9580

    Article  Google Scholar 

  5. Chen B, Wornell GW (2001) Quantization Index Modulation: A Class of Provably Good Methods for Digital Watermarking and Information Embedding. IEEE Transaction on Information Theory 47:(4)

  6. Ernawan F, Kabir MN (2019) An improved watermarking technique for copyright protection based on Tchebichef moments. IEEE Access, 1–20

  7. Farfoura ME, Horng SJ, Guo JM, Al-Haj A (2015) Low complexity semi-fragile watermarking scheme for H.264/AVC authentication. Multimed Tools Appl, 1–15

  8. Gull S, Loan N, Parah S, Sheikh J, Bhat G (2018) An efficient watermarking technique for tamper detection and localization of medical images. J Ambient Intell Human Comput

  9. Harris C, Stephens M (1988) A combined corner and edge detector. Proceedings of the 4th Alvey Vision Conference. 147–151

  10. Horng SJ, Rosiyadi D, Fan P, Wang X, Khan MK (2013) An adaptive watermarking scheme for e-government document images, Multimed Tools Appl, 1–19

  11. http://deanvaughan.org/wordpress/2013/07/dicom-sample-images/ (Accessed 03 Dec 2018)

  12. http://dicom.nema.org (Accessed 15 Oct 2018).

  13. Hurrah NN, Parah SA, Sheikh JA (2020) Embedding in medical images: an efficient scheme for authentication and tamper localization. Multimed Tools Appl, 1–20

  14. Kim C, Shin D, Leng L, Yang CN (2016) Lossless data hiding for absolute moment block truncation coding using histogram modification. J Real-Time Image Proc:1–14

  15. Kim C, Shin D, Leng L, Yang CN (2018) Separable reversible data hiding in encrypted halftone image. Displays 53:1–11

    Article  Google Scholar 

  16. Kim C, Yang CN, Leng L (2020) High-Capacity Data Hiding for ABTC-EQ Based Compressed Image. Electronics 9(644):1–15

    Google Scholar 

  17. Leng L, Zhang J, Khan MK, Chen X, Alghathbar K (2010) Dynamic weighted discrimination power analysis: A novel approach for face and palmprint recognition in DCT domain. Int J Physic Sci 5(17):2543–2554

    Google Scholar 

  18. Li J, Zhang C (2019) Blind and robust watermarking scheme combining bimodal distribution structure with iterative selection method. Multimed Tools Appl, 1–35

  19. Mainali P, Yang Q, Lafruit G, Gool LV, Lauwereins R (2011) Robust low complexity corner detector. IEEE Transact Circ Syst Vid Technol 21(4):435–445

    Article  Google Scholar 

  20. Mishra A, Rajpal A, Bala R (2018) Bi-directional extreme learning machine for semi-blind watermarking of compressed images. J Info Sec Appl 38:71–84

    Google Scholar 

  21. Ortiz AM, Uribe CF, Beltran RH, Hernandez JJG (2019) A survey on reversible watermarking for multimedia content: a robustness overview. IEEE Access, 1–21

  22. Leng L, Li M, Kim C, Bi X (2015) Dual-source discrimination power analysis for multi-instance contactless palmprint recognition. Multimed Tools Appl:1–22

  23. Petitcolas F (2012) Watermarking stirmark. http://www.petitcolas.net/fabien/watermarking/stirmark/

  24. Phadikar A, Jana P, Mandal H (2019) Reversible data hiding for DICOM image using lifting and Companding. Cryptography 3(21):1–19

    Google Scholar 

  25. Rosiyadi D, Horng SJ, Lestriandoko NH (2015) A Resistant Digital Image Watermarking Scheme Based on Masking Model. International Carnahan Conference on Security Technology (ICCST), 1–4

  26. Shi J, Tomasi T (1994) Good features to track. IEEE Conference on Computer Vision and Pattern Recognition, Seattle

    Google Scholar 

  27. Singh SP, Bhatnagar G (2019) A robust blind watermarking framework based on Dn structure. J Ambient Intell Humaniz Comput:1–19

  28. Stavroulakis P (2006) Chaos applications in telecommunications, 1st edn. Taylor & Francis, CRC Press, Boca Raton

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adel Alti.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Soualmi, A., Alti, A. & Laouamer, L. A novel blind watermarking approach for medical image authentication using MinEigen value features. Multimed Tools Appl 80, 2279–2293 (2021). https://doi.org/10.1007/s11042-020-09614-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-020-09614-x

Keywords

Navigation