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
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
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
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
Chen W, Quan C, Tay CJ (2009) Optical color image encryption based on Arnold transform and interference method. Opt Commun 282(18):3680–3685
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
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
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
Naderahmadian Y, Hosseini-Khayat S (2013) Fast and robust watermarking in still images based on QR decomposition. Multimed Tools Appl 72(3):2597–2618
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
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
Rivest RL (1992) The MD5 message digest algorithm, Internet RFC 1321, April
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
Seddik H, Sayadi M, Fnaiech F, Cheriet M (2009) Image watermarking based on the Hessenberg transform. Int J Image Graph 9(03):411–433
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
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
University of Granada. Computer Vision Group. CVG-UGR Image Database. [2012-10-22]. http://decsai.ugr.es/cvg/dbimagenes/c512.php
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
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
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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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