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Digital image watermarking using DWT-SVD with enhanced tunicate swarm optimization algorithm

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Abstract

Image watermarking is the vital process in leveraging digital rights management for valuable intellectual properties. Recently, large number of works was found out to build the image watermarking efficiency in order to cater to the security demands of content protection. However, it is essential to take into account the robustness of watermarking methods. Therefore, robust image watermarking techniques are introduced to show robustness against various attacks and other issues in watermarking. In this paper, a digital image watermarking technique based on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is proposed. The DWT and SVD methods are hybridized to enhance the embedding capacity. Based on the low variance calculation, optimal image blocks are selected by the Enhanced Tunicate Swarm Algorithm. TSA optimization is enhanced by the optimization of Sine Cosine Algorithm which is used to update the optimal solution of low variance value. Before embedding, the watermark is scrambled by Arnold scrambling and Tent Map chaotic encryption for double layer security to the watermark image. After embedding, the extraction process is carried out. The experiments are conducted on Pepper, Barbara, Lena, Baboon and Airplane image sets. The results are compared with different watermarking approaches and optimization approaches in terms of Peak Signal to Noise ratio (PSNR), Normalization Correlation (NC), and Structural Similarity Index Measure (SSIM). To show the robustness, the proposed method is evaluated under various geometric attacks and found to achieve better accuracy and robustness compared to existing methods.

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Data availability

The data that support the findings of this study are available on request from the corresponding author, R. Radha Kumari. Parts of the data are not publicly available due to some restriction, e.g., their information or data that could compromise the privacy of research participants.

Code availability

The programs developed in the work are available upon request as long as those as a whole or part of them are not used for any commercial purposes.

References

  1. Ahvanooey MT, Li Q, Shim HJ, Huang Y (2018) A Comparative Analysis of Information Hiding Techniques for Copyright Protection of Text Documents. Secur Commun Netw

  2. Alzahrani, A (2022) Enhanced invisibility and robustness of digital image watermarking based on DWT-SVD. Appl Bionics and Biomech 2018(5325040):1–22

  3. Alzahrani A, Memon NA (2021) Blind and robust watermarking scheme in hybrid domain for copyright protection of medical images. IEEE Access 9:113714–113734

    Article  Google Scholar 

  4. Ambadekar SP, Jain J, Khanapuri J (2019) Digital image watermarking through encryption and DWT for copyright protection. Recent Trends in Signal and Image Processing. Advances in Intelligent Systems and Computing. Springer, Singapore, vol 727, pp. 187–195

  5. Bhatti UA, Yu Z, Li J, Nawaz SA, Mehmood A, Zhang K, Yuan L (2020) Hybrid watermarking algorithm using Clifford algebra with Arnold scrambling and chaotic encryption. IEEE Access 8:76386–76398

    Article  Google Scholar 

  6. Cheema AM, Adnan SM, Mehmood Z (2020) A novel optimized semi-blind scheme for color image watermarking. IEEE Access 8:169525–169547

    Article  Google Scholar 

  7. Chun-peng W, Xing-yuan W, Zhi-qiu X (2016) Geometrically invariant image watermarking based on fast radial harmonic Fourier moments. Signal Process Image Commun 45:10–23

    Article  Google Scholar 

  8. Durafe, A, Patidar, V (2020) Development and analysis of IWT-SVD and DWT-SVD steganography using fractal cover. J King Saud Univ-Comput Inf Sci

  9. Garg P, Rama Kishore R (2020) Secured and multi optimized image watermarking using SVD and entropy and prearranged embedding locations in transform domain. J Discret Math Sci Cryptogr 23(1):73–82

    Article  MATH  Google Scholar 

  10. Kaur, S, Awasthi LK, Sangal, AL, Dhiman G (2020) Tunicate Swarm Algorithm:A new bio-inspired based metaheuristic paradigm for global optimization. Eng Appl Artif Intell

  11. Kumar C, Singh AK, Kumar P (2020) Improved wavelet-based image watermarking through SPIHT. Multimed Tools Appl 79(15):11069–11082

    Article  Google Scholar 

  12. Lalitha RVSS, Srinivasu PN (2017) An efficient data encryption through image via prime order symmetric key and bit shuffle technique. In computer communication, networking and internet security (pp. 261–270). Springer, Singapore

    Google Scholar 

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

    Article  Google Scholar 

  14. Loan NA, Hurrah NN, Parah SA, Lee JW, Sheikh JA, Bhat GM (2018) Secure and robust digital image watermarking using coefficient differencing and chaotic encryption. IEEE Access 6:19876–19897

    Article  Google Scholar 

  15. Maloo S, Kumar M, Lakshmi N (2020) A modified whale optimization algorithm based digital image watermarking approach. Sens Imaging 21(1):1–22

    Article  Google Scholar 

  16. Mehta R, Rajpal N, Vishwakarma VP (2018) Robust image watermarking scheme in lifting wavelet domain using GA-LSVR hybridization. Int J Mach Learn Cybern 9(1):145–161

    Article  Google Scholar 

  17. Moeinaddini E (2019) Selecting optimal blocks for image watermarking using entropy and distinct discrete firefly algorithm. Soft Comput 23:9685–9699

  18. Ray A, Roy S (2020) Recent trends in image watermarking techniques for copyright protection: a survey. Int J Multimed Inf Retriev 9(4):249–270

    Article  Google Scholar 

  19. Sattarpoor, S, Barati, H (2021) Robust image watermarking in wavelet domain using GBT-DWT-SVD and whale optimization algorithm. arXiv preprint arXiv:2104.05023

  20. Singh R, Ashok A (2021) An optimized robust watermarking technique using CKGSA in frequency domain. J Inf Secur Appl 58:102734

    Google Scholar 

  21. Singh AK, Kumar B, An GS, Mohan (2017) State-of-the-Art Techniques of Image Watermarking: New Trends and Future Challenges. In Medical Image Watermarking. Springer, Cham

    Book  Google Scholar 

  22. Sisaudia V, Vishwakarma VP (2021) Copyright protection using KELM-PSO based multi-spectral image watermarking in DCT domain with local texture information based selection. Multimed Tools Appl 80(6):8667–8688

    Article  Google Scholar 

  23. Srinivasu, PN, Rao, S (2015) A multilevel image encryption based on duffing map and modified DNA hybridization for transfer over an unsecured channel. Int J Comput Appl, 120(4)

  24. Srinivasu, PN, Norwawi, N, Amiripalli, SS, Deepalakshmi, P (n.d.) Secured compression for 2D medical images through the manifold and fuzzy trapezoidal correlation function. Gazi Univ J Sci

  25. Tao H, Chongmin L, Zain JM, Abdalla AN (2014) Robust image watermarking theories and techniques A review. J Appl Res Technol 12(1):122–138

    Article  Google Scholar 

  26. Teng L, Wang X, Wang X (2013) Cryptanalysis and improvement of a chaotic system based fragile watermarking scheme. AEU-Inte J Electron Commun 67(6):540–547

    Article  Google Scholar 

  27. Veni M, Meyyappan T (2019) Digital image watermark embedding and extraction using oppositional fruit Fly algorithm. Multimed Tools Appl 78(19):27491–27510

    Article  Google Scholar 

  28. Wang M, Lu G (2021) A modified sine cosine algorithm for solving optimization problems. IEEE Access 9:27434–27450

    Article  Google Scholar 

  29. Wang C, Wang X, Zhang C, Xia Z (2017) Geometric correction based color image watermarking using fuzzy least squares support vector machine and Bessel K form distribution. Signal Process 134:197–208

  30. Wang C, Wang X, Li Y, Xia Z, Zhang C (2018) Quaternion polar harmonic Fourier moments for color images. Inf Sci 450:141–156

    Article  MATH  MathSciNet  Google Scholar 

  31. Wang C, Wang X, Xia Z, Zhang C (2019) Ternary radial harmonic Fourier moments based robust stereo image zero-watermarking algorithm. Inf Sci 470:109–120

    Article  Google Scholar 

  32. Wang C, Wang X, Xia Z, Ma B, Shi YQ (2019) Image description with polar harmonic Fourier moments. IEEE Trans Circ Syst Vid Technol 30(12):4440–4452

    Article  Google Scholar 

  33. Xia Z, Wang X, Zhou W, Li R, Wang C, Zhang C (2019) Color medical image lossless watermarking using chaotic system and accurate quaternion polar harmonic transforms. Signal Process 157:108–118

    Article  Google Scholar 

  34. Xia Z, Wang X, Li X, Wang C, Unar S, Wang M, Zhao T (2019) Efficient copyright protection for three CT images based on quaternion polar harmonic Fourier moments. Signal Process 164:368–379

    Article  Google Scholar 

  35. Xia Z, Wang X, Han B, Li Q, Wang X, Wang C, Zhao T (2021) Color image triple zero-watermarking using decimal-order polar harmonic transforms and chaotic system. Signal Process 180:107864

    Article  Google Scholar 

  36. Xia Z, Wang X, Wang C, Ma B, Zhang H, Li Q (2021) Novel quaternion polar complex exponential transform and its application in color image zero-watermarking. Digit Signal Process 116:103130

    Article  Google Scholar 

  37. Zainol Z, Teh JS, Alawida M, Alabdulatif A (2021) Hybrid SVD-based image watermarking schemes: a review. IEEE Access 9:32931–32968

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Ananthpuramu, Ananthpuramu, Andhra Pradesh, 515002, India

    Ms R. Radha Kumari & K. Rama Naidu

  2. Department of CSE and Dean Research and Development, Anurag University, Hyderabad, Telangana, 500 088, India

    V. Vijaya Kumar

Authors
  1. Ms R. Radha Kumari
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  2. V. Vijaya Kumar
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  3. K. Rama Naidu
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Contributions

All authors contributed to the study conception, design, development, implementation and experiments. Material preparation, data collection, implementation, experiments, and analysis were performed by R. Radha Kumari, V. Vijaya Kumar and K. Rama Naidu.

The first draft of the manuscript was written by R. Radha Kumari, and all authors commented on the first draft version of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ms R. Radha Kumari.

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Kumari, M.R.R., Kumar, V.V. & Naidu, K.R. Digital image watermarking using DWT-SVD with enhanced tunicate swarm optimization algorithm. Multimed Tools Appl 82, 28259–28279 (2023). https://doi.org/10.1007/s11042-023-14618-4

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  • DOI: https://doi.org/10.1007/s11042-023-14618-4

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