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A novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition

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Abstract

In this paper, a novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition is proposed to protect digital copyright of color image. Firstly, each color channel of the host image is transformed by Contourlet transform and its low frequency sub-band is divided into 4 × 4 non-overlap coefficient block. Secondly, the coefficient block selected by MD5-based Hash pseudo-random algorithm is decomposed by Hessenberg decomposition. Thirdly, the watermark information permuted by Arnold transform is embedded into the biggest energy element of the upper Hessenberg matrix by quantization technique. In extraction process, the quantization strength is used for blindly extracting watermark information from the attacked host image without the help of any original image. The results show that the proposed scheme has higher imperceptibility and robustness against most common image attacks in comparison with other related methods.

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References

  1. Akhaee MA, Sahraeian SME, Marvasti F (2010) Contourlet-based image watermarking using optimum detector in a noisy environment. IEEE Trans Image Process 19(4):967–980

    Article  MathSciNet  Google Scholar 

  2. Bhatnagar G, Wu QMJ (2013) Biometircs inspired watermarking based on a fractional dual tree complex wavelet transform. Futur Gener Comput Syst 29(1):182–195

    Article  Google Scholar 

  3. Bi H, Li X, Zhang Y, Xu Y (2010) A blind robust watermarking scheme based on CT and SVD. In: Proceedings of 2010 I.E. 10th International Conference on Signal Processing (ICSP), pp. 881–884

  4. Chen W, Quan C, Tay CJ (2009) Optical color image encryption based on Arnold transform and interference method. Opt Commun 282(18):3680–3685

    Article  Google Scholar 

  5. Golea NEH, Seghir R, Benzid R (2010) A bind RGB color image watermarking based on singular value decomposition. In: 2010 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), pp. 1–5

  6. Li J, Li X, Yang B, Sun X (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518

    Article  Google Scholar 

  7. Liang D, Yin B, Yu M, Li X, Wang N (2008) An algorithm for color image digital watermarking using the nonsubsampled contourlet transform. Acta Optica Sin 28(8):1469–1474, Chinese

    Article  Google Scholar 

  8. Naderahmadian Y, Hosseini-Khayat S (2013) Fast and robust watermarking in still images based on QR decomposition. Multimed Tools Appl 72(3):2597–2618

    Article  Google Scholar 

  9. Narasimhulu CV, Prased KS (2011) A new SVD hybrid color image watermarking for copyright protection using Contourlet transform. Int J Comput Appl 20(8):18–27

    Google Scholar 

  10. Niu PP, Wang XY, Yang YP, Lu MY (2011) A novel color image watermarking scheme in nonsampled contourlet-domain. Expert Syst Appl 38(3):2081–2098

    Article  Google Scholar 

  11. Rivest RL (1992) The MD5 message digest algorithm, Internet RFC 1321, April

  12. Sadreazami H, Ahmad MO, Swamy MNS (2014) A study of multiplicative watermark detection in the contourlet domain using alpha-stable distributions. IEEE Trans Image Process 23(10):4348–4360

    Article  MathSciNet  Google Scholar 

  13. Seddik H, Sayadi M, Fnaiech F, Cheriet M (2009) Image watermarking based on the Hessenberg transform. Int J Image Graph 9(03):411–433

    Article  Google Scholar 

  14. Su Q, Niu Y, Wang G, Jia S, Yue J (2014) Color image blind watermarking scheme based on QR decomposition. Signal Process 94(1):219–235

    Article  Google Scholar 

  15. Su Q, Niu Y, Zou H, Zhao Y, Yao T (2014) A blind double color image watermarking algorithm based on QR decomposition. Multimed Tools Appl 72(1):987–1009

    Article  Google Scholar 

  16. University of Granada. Computer Vision Group. CVG-UGR Image Database. [2012-10-22]. http://decsai.ugr.es/cvg/dbimagenes/c512.php

  17. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612

    Article  Google Scholar 

  18. Zheng Y, Jeon B, Xu D, Wu QMJ, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy C-means algorithm. J Intell Fuzzy Syst 28(2):961–973

    Google Scholar 

Download references

Acknowledgments

The research was partially supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), NNSF from China (61202111, 61471185, 61403180, 61472172, 61502218, 61572258), Natural Science Foundation of Shandong Province (ZR2014FM005), Shandong Province Higher Educational Science and Technology Program (J14LN20, J12LN05), Doctoral Foundation of Ludong University (LY2014034), Shandong Province Science and Technology Plan Projects (2015GSF116001). The authors would like to thank anonymous referees for their valuable comments and suggestions which lead to substantial improvements of this paper.

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Correspondence to Qingtang Su.

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Su, Q., Wang, G., Lv, G. et al. A novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition. Multimed Tools Appl 76, 8781–8801 (2017). https://doi.org/10.1007/s11042-016-3522-z

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  • DOI: https://doi.org/10.1007/s11042-016-3522-z

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