Skip to main content
SpringerLink
Log in

Non-blind RGB watermarking approach using SVD in translation invariant wavelet space with enhanced Grey-wolf optimizer

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

Abstract

Sharing or transmitting the digital information in online is increasing day by day since the usage of internet has become a habituation for everyone, which led to the large-scale violation of copyright issues. Now a days, majority of the data is being shared in the form of digital images which is quite easy for the copyright violators to forge and fake those images and then shared for profit. To deal with these copyright violations, digital watermarking came into existence as a potential solution that utilizes the concept of data hiding. This article proposed an approach for a non-blind color image watermarking (NB-CIW) by employing the algorithm named as singular value decomposition in translation invariant wavelet (SVD-TIW) domain. In addition, to further optimize the proposed SVD-TIW algorithm, enhanced grey-wolf optimizer (E-GWO) is presented which is an efficacious optimization approach in meta-heuristic algorithms. Further, to disclose the robustness and effectiveness of proposed NB-CIW using SVD-TIW-EGWO approach, different sort of attacks is enforced on watermarked image and extracted the accurate watermark image. Simulations on various test images with comparison to the state-of-art NB-CIW methodologies demonstrate the superiority of proposed NB-CIW using SVD-TIW-EGWO approach with respect to quality evaluation metrics like normalized cross correlation (NCC), root mean square error (RMSE), structural similarity (SSIM) index and even that of peak signal-to-noise ratio (PSNR) as well.

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
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Amini M, Ahmad MO, Swamy MNS (2017) A new locally optimum watermark detection using vector-based hidden markov model in wavelet domain. Signal Process 137:213–222

    Article  Google Scholar 

  2. Ariatmanto D, Ernawan F (2020) An improved robust image watermarking by using different embedding strengths. Multimed Tools Appl 79:12041–12067

    Article  Google Scholar 

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

    Article  Google Scholar 

  4. Hamidi M, Haziti ME, Cherifi H, Hassouni ME (2018) Hybrid blind image watermarking technique based on DFT-DCT and Arnold transform. Multimed Tools Appl 77(20):27181–27214

    Article  Google Scholar 

  5. Kapoor S, Zeya I, Singhal C, Nanda SJ, Kapoor S, Zeya I, Singhal C, Nanda SJ (2017) A grey wolf optimizer based automatic clustering algorithm for satellite image segmentation, In: 7th International Conference on Advances in Computing & Communications, Cochin, India, vol. 115 of Procedia Computer Science, Elsevier, pp. 415–422

  6. Kim WH, Nam S, Lee HK (2017) Blind curvelet watermarking for high-quality images. Electron Lett 53(19):1302–1304

    Article  Google Scholar 

  7. Lee YS, Seo YH, Kim DW (2019) Blind image watermarking based on adaptive data spreading in n-level DWT subbands, Security and Communication Networks, Article ID 8357251 https://doi.org/10.1155/2019/8357251

  8. Loukhaoukha K, Rafaey A, Zebbiche K (2017) Ambiguity attacks on robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition. J Electric Syst Inform Technol 4(3):359–368

    Article  Google Scholar 

  9. Macq B, Quisquater JJ (1995) Cryptology for digital TV broadcasting. IEEE 83:944–957

  10. Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer, in: advances in engineering software. Vol. 69:46–61

    Google Scholar 

  11. O’Ruanaidh JJK, Dowling WJ, Boland FM (1996) Watermarking digital images for copyright protection, in: IEEE Proceedings- Vision, Image and Signal Processing , IET, vol. 143, IET, pp. 250–256.

  12. Paunwala M, Patnaik S (2014) Biometric template protection with DCT-based watermarking. Mach Vis Appl 25(1):263–275

    Article  Google Scholar 

  13. Poonam S, Arora M (2018) A DWT-SVD based robust digital watermarking for digital images. Proced Comput Sci 132:1441–1448

    Article  Google Scholar 

  14. Rai S, Boghey R, Shahane D, Saxena P (2019) Digital image watermarking against geometrical attack. In: Shukla R, Agrawal J, Sharma S, Singh TG (eds) Data, Engineering and Applications. Springer, Singapore

    Google Scholar 

  15. Rassem TH, Makbol NM, Khoo BE (2016) Performance analysis of RDWT-SVD and DWT-SVD watermarking schemes, in: International Conference on Advanced Science, Engineering and Technology, Vol. 1774 of 1, AIP Publishing, pp. 050021–1–050021–9

  16. Saadi S, Merrad A, Benziane A (2019) Novel secured scheme for blind audio/speech norm-space watermarking by Arnold algorithm. Signal Process 154:74–86

    Article  Google Scholar 

  17. Sadreazami H, Amini M (2019) A robust image watermarking scheme using local statistical distribution in the contourlet domain. IEEE Transact Circ Syst II: Express Briefs 66(1):151–155

    Google Scholar 

  18. Saremi S, Mirjalili SZ, Mirjalili SM (2015) Evolutionary population dynamics and grey wolf optimizer. Neural Comput & Applic 26(5):1257–1263

    Article  Google Scholar 

  19. Savakar DG, Ghuil A (2019) Robust invisible digital image watermarking using hybrid scheme. Arab J Sci Eng 44(4):3995–4008

    Article  Google Scholar 

  20. Savakar DG, Ghuli A (2019) Robust invisible digital image watermarking using hybrid scheme. Arab J Sci Eng 44:3995–4008. https://doi.org/10.1007/s13369-019-03751-8

    Article  Google Scholar 

  21. Singh P, Raman B, Roy PP (2017) A multimodal biometric watermarking system for digital images using redundant discrete wavelet transform. Multimed Tools Appl 76(3):3871–3897

    Article  Google Scholar 

  22. Song X, Tang L, Zhao S, Zhang X, Li L, Huang J, Cai W (2015) Grey wolf optimizer for parameter estimation in surface waves. Soil Dyn Earthq Eng 75:147–157

    Article  Google Scholar 

  23. Srinivas K, Kumar PM, Rao AJ (2019) A new video watermarking using redundant discrete wavelet in singular value decomposition domain. J Mech Cont Mathematic Sci 14(5):476–486

    Google Scholar 

  24. Veni M, Meyyappan T (2019) Digital image watermark embedding and extraction using oppositional fruit Fly algorithm. Multimed Tools Appl 78:27491–27510

    Article  Google Scholar 

  25. Zebbiche K, Khelifi F, Loukhaoukha K (2018) Robust additive watermarking in the DTCWT domain based on perceptual masking. Multimed Tools Appl 77(16):21281–21304

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, CMR Engineering College, Kandlakoya, Hyderabad, Telangana, India

    Bhasker Dappuri

  2. Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

    M. Purnachandra Rao

  3. Department of Electronics and Communication Engineering, Malla Reddy Engineering College, Maisammaguda, Hyderabad, Telangana, India

    Madhu Babu Sikha

Authors
  1. Bhasker Dappuri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Purnachandra Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Madhu Babu Sikha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bhasker Dappuri.

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

Dappuri, B., Rao, M.P. & Sikha, M.B. Non-blind RGB watermarking approach using SVD in translation invariant wavelet space with enhanced Grey-wolf optimizer. Multimed Tools Appl 79, 31103–31124 (2020). https://doi.org/10.1007/s11042-020-09433-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-020-09433-0

Keywords

Search

Navigation