Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Multipurpose watermarking scheme via intelligent method and chaotic map

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

Abstract

In this paper, we propose a novel multipurpose intelligent image watermarking scheme for both content authentication and copyright protection. To achieve this, we first utilize integer discrete wavelet transform (IDWT) for watermark insertion and detection. The low frequency component of IDWT is used to insert a robust watermark (e.g., the copyright information) for copyright protection, whereas the high frequency component of IDWT is used to embed a fragile watermark (e.g., the logo data) for content authentication. To achieve a good tradeoff among the watermark conflicting requirements (e.g., robustness, fidelity and capacity), we develop an artificial bee colony (ABC) algorithm for optimal parameter selection. Experimental results demonstrate that the proposed scheme achieves promising performance in both copyright protection and content authentication simultaneously, which confirm the superiority of our proposed algorithm as compared to existing methods.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Ansari IA, Pant M (2016) Multipurpose image watermarking in the domain of DWT based on SVD and ABC. Pattern Recognition Letters

  2. Aslantas V (2008) A singular-value decomposition-based image watermarking using genetic algorithm. AEU - International Journal of Electronics and Communications 62(5):386–394

    Article  Google Scholar 

  3. Aslantas V, Ozer S, Ozturk S (2009) Improving the performance of DCT-based fragile watermarking using intelligent optimization algorithms. Opt Commun 282(14):2806–2817

    Article  Google Scholar 

  4. Bao P, Xiaohu M (2005) Image adaptive watermarking using wavelet domain singular value decomposition. IEEE Transactions on Circuits and Systems for Video Technology 15(1):96–102

    Article  Google Scholar 

  5. Benrhouma O, Hermassi H, Belghith S (2015) Tamper detection and self-recovery scheme by DWT watermarking. Nonlinear Dynamics 79(3):1817–1833

    Article  Google Scholar 

  6. Chen B, Wornell GW (2001) Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans Inf Theory 47(4):1423–1443

    Article  MathSciNet  MATH  Google Scholar 

  7. Giakoumaki A, Pavlopoulos S, Koutsouris D (2006) Multiple image watermarking applied to health information management. IEEE Trans Inf Technol Biomed 10(4):722–732

    Article  Google Scholar 

  8. Huang HC, Chu SC, Pan JS, Huang CY, Liao BY (2011) Tabu search based multi-watermarks embedding algorithm with multiple description coding. Inf Sci 181(16):3379–3396

    Article  Google Scholar 

  9. Jamal SS, Shah T, Hussain I (2013) An efficient scheme for digital watermarking using chaotic map. Nonlinear Dynamics 73(3):1469–1474

    Article  MathSciNet  Google Scholar 

  10. Jin Y, Shi Y, Zhan L, Gutman BA, de Zubicaray GI, McMahon KL, Wright MJ, Toga AW, Thompson PM (2014) Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. NeuroImage 100:75–90

    Article  Google Scholar 

  11. Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department

  12. Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3):459–471

    Article  MathSciNet  MATH  Google Scholar 

  13. Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8(1):687–697

    Article  Google Scholar 

  14. Lai CC (2011) A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm. Digital Signal Processing 21(4):522–527

    Article  Google Scholar 

  15. Lee SH, Kwon KR (2011) Multiple 3D medical data watermarking for healthcare data management. J Med Syst 35(6):1573–1593

    Article  Google Scholar 

  16. Lee S, Yoo CD, Kalker T (2007) Reversible image watermarking based on integer-to-integer wavelet transform. IEEE Transactions on Information Forensics and Security 2(3):321–330

    Article  Google Scholar 

  17. Lei B, Soon Y (2015) Perception-based audio watermarking scheme in the compressed bitstream. AEU-International Journal of Electronics and Communications 69(1):188–197

    Article  Google Scholar 

  18. Lei BY, Soon IY, Li Z (2011) Blind and robust audio watermarking scheme based on SVD-DCT. Signal Process 91(8):1973–1984

    Article  MATH  Google Scholar 

  19. Lei B, Soon IY, Li Z, Dai P (2011) A particle swarm optimization based audio watermarking scheme. In: Proceedings of 8th International Conference on Information, Communications and. Signal Processing, IEEE, pp 1–4

  20. Lei B, Soon I, Li Z (2012) A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition. In: Proceedings of International Workshop on Watermarking and Forensics, Springer Berlin Heidelberg, pp 86–96

  21. Lei B, Song I, Rahman SA (2012) Optimal watermarking scheme for breath sound. In: Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, pp 1–6

  22. Lei B, Soon IY, Tan E-L (2013) Robust SVD-based audio watermarking scheme with differential evolution optimization. IEEE Trans Audio Speech Lang Process 21(11):2368–2378

    Article  Google Scholar 

  23. Lei B, Chen S, Wang T, Ni D, Lei H (2013) Robust watermarking scheme for medical image using optimization method. In: Proceedings of Eighth International Conference on Information, Communications and Signal Processing, IEEE, pp 1–4

  24. Lei B, Ni D, Chen S, Wang T, Zhou F (2014) Optimal image watermarking scheme based on chaotic map and quaternion wavelet transform. Nonlinear Dynamics 78(4):2897–2907

    Article  Google Scholar 

  25. Lei B, Tan E-LCS, Ni D, Wang T, Lei H (2014) Reversible watermarking scheme for medical image based on differential evolution. Expert Syst Appl 41(7):3178–3188

    Article  Google Scholar 

  26. Lei B, Zhou F, Tan E-L, Ni D, Lei H, Chen S, Wang T (2015) Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. Signal Process 113:80–94

    Article  Google Scholar 

  27. Liu N, Li H, Dai H, Guo D, Chen D (2015) Robust blind image watermarking based on chaotic mixtures. Nonlinear Dynamics 80(3):1329–1355

    Article  Google Scholar 

  28. Mooney A, Keating JG, Heffernan DM (2009) Performance analysis of chaotic and white watermarks in the presence of common watermark attacks. Chaos, Solitons Fractals 42(1):560–570

    Article  MathSciNet  MATH  Google Scholar 

  29. Run RS, Horng SJ, Lai JL, Kao TW, Chen RJ (2012) An improved SVD-based watermarking technique for copyright protection. Expert Syst Appl 39(1):673–689

    Article  Google Scholar 

  30. Tao S, Ruli W, Yixun Y (2001) Generating binary Bernoulli sequences based on a class of even-symmetric chaotic maps. IEEE Trans Commun 49(4):620–623

    Article  MATH  Google Scholar 

  31. Tefas A, Nikolaidis A, Nikolaidis N, Solachidis V, Tsekeridou S, Pitas I (2003) Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences. IEEE Trans Signal Process 51(7):1979–1994

    Article  MATH  Google Scholar 

  32. Wang X-Y, Niu P-P, Yang H-Y (2009) A robust, digital-audio watermarking method. IEEE Multimedia 16(3):60–69

    Article  Google Scholar 

  33. Wu X, Guan Z-H (2007) A novel digital watermark algorithm based on chaotic maps. Phys Lett A 365(5–6):403–406

    Article  Google Scholar 

  34. Zhang L, Han Y, Yang Y, Song M, Yan S, Tian Q (2013) Discovering discriminative Graphlets for aerial image categories recognition. IEEE Trans Image Process 22(12):5071

    Article  MathSciNet  MATH  Google Scholar 

  35. Zhang L, Yang Y, Gao Y, Yu Y (2014) A probabilistic associative model for segmenting weakly supervised images. IEEE Trans Image Process 23(9):4150–4159

    Article  MathSciNet  MATH  Google Scholar 

  36. Zhang L, Gao Y, Zimmermann R, Tian Q, Li X (2014) Fusion of multichannel local and global structural cues for photo aesthetics evaluation. IEEE Trans Image Process 23(3):1419–1429

    Article  MathSciNet  MATH  Google Scholar 

  37. Zhang L, Gao Y, Xia Y, Lu K, Shen J, Ji R (2014) Representative discovery of structure cues for weakly-supervised image segmentation. IEEE Transactions on Multimedia 16(2):470–479

    Article  Google Scholar 

  38. Zhang L, Gao Y, Ji R, Xia Y, Dai Q, Li X (2014) Actively learning human gaze shifting paths for semantics-aware photo cropping. IEEE Trans Image Process 23(5):2235–2245

    Article  MathSciNet  MATH  Google Scholar 

  39. Zhang L, Gao Y, Hong C, Feng Y, Zhu J, Cai D (2014) Feature correlation hypergraph: exploiting high-order potentials for multimodal recognition. IEEE Transactions on Cybernetics 44(8):1408–1419

    Article  Google Scholar 

  40. Zhang L, Gao Y, Xia Y, Dai Q, Li X (2015) A fine-grained image categorization system by Cellet-encoded spatial pyramid modeling. IEEE Trans Ind Electron 62(1):564–571

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported partly by National Natural Science Foundation of China (Nos. 61402296, 61571304, and 61427806), National Key Research and Development Project (No. 2016YFC0104703), the (Key) Project of Department of Education of Guangdong Province (No. 2014GXM052), Shenzhen Key Basic Research Project (Nos. JCYJ20150525092940986), Guangdong Medical Grant (No. B2016094), Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) (No. MJUKF201711) and the National Natural Science Foundation of Shenzhen University (No. 2016077).

Author information

Authors and Affiliations

  1. School of Biomedical Engineering, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, 518060, China

    Baiying Lei, Xin Zhao, Dong Ni, Siping Chen & Tianfu Wang

  2. College of Computer Science and Technology, Shenzhen University, Shenzhen, China

    Haijun Lei

  3. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 813 Ferst Drive, NW, Atlanta, GA, 30332-0405, USA

    Feng Zhou

Authors
  1. Baiying Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xin Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Haijun Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dong Ni
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Siping Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Feng Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tianfu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Feng Zhou or Tianfu Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei, B., Zhao, X., Lei, H. et al. Multipurpose watermarking scheme via intelligent method and chaotic map. Multimed Tools Appl 78, 27085–27107 (2019). https://doi.org/10.1007/s11042-017-4743-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-4743-5

Keywords

Search

Navigation