Skip to main content

Advertisement

SpringerLink
Log in

Performance analysis of meta-heuristics on dual watermarking of color images based on SWT and SVD

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

Abstract

This paper proposes a robust and high embedding capacity watermarking technique where two watermarks are embedded in a color image. A gray-scale image is embedded as one of the watermarks to identify the ownership of the host image using Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD). A binary watermark with the help of the least significant bit method is embedded to locate the tampers. This technique is optimized to have better robustness against various attacks by employing meta-heuristics. The performance of the Genetic Algorithm (GA), Invasive Weed Optimization (IWO) and Teaching Learning Based Optimization (TLBO) is analyzed on the proposed watermarking technique. A novel fitness function is proposed to optimize color image watermarking. This technique is applied to standard images and medical images. The performance of the meta-heuristics on the proposed method is compared with respect to the imperceptibility, robustness, the number of pixels changing rate (NPCR) and computation complexity.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Abdelhakim AM, Saleh HI, Nassar AM (2017) A quality guaranteed robust image watermarking optimization with Artificial Bee Colony. Expert Syst Appl 72:317–326

    Article  Google Scholar 

  2. Aslantas V (2008) A singular-value decomposition-based image watermarking using genetic algorithm. AEU - Int J Electron Commun 62(5):386–394

    Article  Google Scholar 

  3. Darwish SM, Al-Khafaji LDS (2018) An optimized dual watermarking scheme for color images. Proc. 13th Int. Conf. Computer Engineering and Systems (ICCES), Cairo, Egypt, pp 640–645

  4. Dey N, Samanta S, Chakraborty S, Das A, Chaudhuri SS, Suri JS (2014) Firefly algorithm for optimization of scaling factors during embedding of manifold medical information: an application in ophthalmology imaging. J Med Imaging Health Inform 4(3):384–394

    Article  Google Scholar 

  5. Gonzalez RC, Woods RE (2008) Digital image processing. Pearson Education, London

    Google Scholar 

  6. Haddad OB, Solgi M, Hugo AL (2017)Meta-heuristic and evolutionary algorithms for engineering optimization. Wiley, Hoboken, pp 163–173

  7. Han J, Zhao X, Qiu C (2015) A digital image watermarking method based on host image analysis and genetic algorithm. J Ambient Intell Human Comput 7:37–45

    Article  Google Scholar 

  8. Khanna AK, Roy NR, Verma B (2016) Digital image watermarking and its optimization using genetic algorithm. Proc. Int. Conf. Computing, Communication and Automation (ICCCA), Noida, pp 1140–1144

  9. Khosravi MR, Yazdi M (2018) A lossless data hiding scheme for medical images using a hybrid solution based on IBRW error histogram computation and quartered interpolation with greedy weights. Neural Comput & Applic 30:2017–2028. https://doi.org/10.1007/s00521-018-3489-y

  10. Kumar C, Singh AK, Kumar P (2020) Dual watermarking: An approach for securing digital documents. Multimed Tools Appl 79:7339–7354

    Article  Google Scholar 

  11. Lai C-C, Ko C-H, Yeh C-H(2012) An adaptive SVD-based watermarking scheme based on genetic algorithm. Proc. Int. Conf. Machine Learning and Cybernetics, Xian, pp 1546–1551

  12. Liu XL, Lin CC, Yuan SM (2018) Blind dual watermarking for color images’ authentication and copyright protection. IEEE Trans Circuits Syst Video Technol 28(5):1047–1055

    Article  Google Scholar 

  13. Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Eco Inform 1(4):355–366

    Article  Google Scholar 

  14. Mohananthini N, Yamuna G (2016) Comparison of multiple watermarking techniques using genetic algorithms. J Electr Syst Inf Technol 3(1):68–80

    Article  Google Scholar 

  15. Moosazadeh M, Andalib A (2016) A new robust color digital image watermarking algorithm in DCT domain using genetic algorithm and coefficients exchange approach. Proc. Second Int. Conf. Web Research (ICWR), Tehran, pp 19–24

  16. Naheed T, Usman I, Khan TM, Dar AH, Shafique MF (2014) Intelligent reversible watermarking technique in medical images using GA and PSO. Optik - Int J Light Electron Opt 125(11):2515–2525

    Article  Google Scholar 

  17. Pesquet JC, Krim H, Carfatan H (1996)Time-invariant orthonormal wavelet representations. IEEE Trans Sign Proc 44 (8):1964–1970

  18. Rao RV, Savsani VJ, Vakharia DP (2011) Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303–315

    Article  Google Scholar 

  19. Rao RSP, Kumar PR (2016) An efficient genetic algorithm based gray scale digital image watermarking for improving the robustness and imperceptibility. Proc. Int. Conf. Electrical, Electronics, and Techniques O (ICEEOT), Chennai, pp 4568–4571

  20. Schmitt, Lothar M (2004) Theory of genetic algorithms II: models for genetic operators over the string-tensor representation of populations and convergence to global optima for arbitrary fitness function under scaling. Theoret Comput Sci 310(1–3):181–231

    Article  MathSciNet  Google Scholar 

  21. Singh S, Singh R, Singh AK, Siddiqui TJ (2018)SVD-DCT based medical image watermarking in NSCT domain. In: Hassanien A, Elhoseny M, Kacprzyk J (eds) Quantum Computing: An Environment for Intelligent Large Scale Real Application. Studies in Big Data 33. Springer, Cham

  22. Sivananthamaitrey P, Rajesh Kumar P (2018) Multipurpose watermarking based on SWT and SVD. Int J Eng Technol 7(3.29):65–69

    Article  Google Scholar 

  23. Sivananthamaitrey P, Murthy PSN, Kumar PR (2019) Multifaceted watermarking of medical images using SWT and SVD. Int J Adv Sci Technol 28(7):01–14

    Google Scholar 

  24. Soliman MM, Hassanien AE, Onsi H (2015) An adaptive watermarking approach based on weighted quantum particle swarm optimization. Neural Comput Appl 27(2):469–481

    Article  Google Scholar 

  25. Takore TT, Kumar PR, Devi GL (2016) Efficient gray image watermarking algorithm based on DWT-SVD using genetic algorithm. Proc. Int. Conf. Information Communication and Embedded Systems (ICICES), Chennai, pp 1–6

  26. Thakur S, Singh AK, Ghrera SP et al (2019)Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications. Multimed Tools Appl 78(3):3457–3470

    Article  Google Scholar 

  27. Wall ME, Rechtsteiner A, Rocha LM (2003) Singular value decomposition and principal component analysis. In: Berrar DP, Dubitzky W, Granzow M (eds) A practical approach to microarray data analysis. Kluwer, Norwell, pp 91–109

Download references

Acknowledgements

This work is carried out with the support and encouragement by the Ministry of Electronics and Information Technology (MeitY), Government of India.

Author information

Authors and Affiliations

  1. Electronics and Communication Engineering, Andhra University College of Engineering (A), Visakhapatnam, India

    P. Sivananthamaitrey. & P. Rajesh Kumar

Authors
  1. P. Sivananthamaitrey.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. Rajesh Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Sivananthamaitrey..

Ethics declarations

Conflicts of interest

The authors declare that they have no conflicts of interest.

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

Sivananthamaitrey., P., Rajesh Kumar, P. Performance analysis of meta-heuristics on dual watermarking of color images based on SWT and SVD. Multimed Tools Appl 81, 1001–1027 (2022). https://doi.org/10.1007/s11042-021-11204-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-021-11204-4

Keywords

Search

Navigation