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Schur Decomposition Based Robust Watermarking Algorithm in Contourlet Domain

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10039))

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Abstract

Most of the existing watermarking schemes utilized SVD decomposition to embed watermark, which lead to a high computational complexity and incidental the false positive detection problem. Therefore, this paper provides a robust copyright protection scheme based on a simple decomposition scheme (schur decomposition) and Quantization Index Modulation (QIM) in Contourlet domain. In addition, some stable features are acquired by using schur decomposition in the Contourlet domain. Consequently, the watermark is embedded into those stable features with QIM method. Experimental results show that the proposed scheme has some superiorities in terms of robustness and imperceptibility, which could against most common attacks such as JPEG compression, filtering, cropping, noise adding and so on.

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References

  1. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  2. Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proc. IEEE 87(7), 1079–1107 (1999)

    Article  Google Scholar 

  3. Lei, B.Y., Soon, I.Y., Li, Z.: Blind and robust audio watermarking scheme based on SVD-DCT. Sig. Process. 91(8), 1973–1984 (2011)

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  5. Ali, M., Ahn, C.W.: An optimized watermarking technique based on self-adaptive DE in DWT-SVD transform domain. Sig. Process. 94, 545–556 (2014)

    Article  Google Scholar 

  6. Nematollahi, M.A., Al-Haddad, S.A.R., Zarafshan, F.: Blind digital speech watermarking based on eigen-value quantization in DWT. Comput. Inf. Sci. 27, 58–67 (2015)

    Google Scholar 

  7. Agoyi, M., Çelebi, E., Anbarjafari, G.: A watermarking algorithm based on chirp z-transform, discrete wavelet transform, and singular value decomposition. SIViP 9(3), 735–745 (2015)

    Article  Google Scholar 

  8. Song, W., Hou, J.J., Li, Z.H., Huang, L.: Chaotic system and QR factorization based robust digital image watermarking algorithm. J. Cent. South Univ. Technol. 9(1), 116–124 (2011)

    Article  Google Scholar 

  9. Naderahmadian, Y., Hosseini-Khayat, S.: Fast watermarking based on QR decomposition in wavelet domain. In: 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), vol. 39, pp. 127–130, October 2010

    Google Scholar 

  10. Liu, F., Han, K., Wang, C.Z.: A novel blind watermark algorithm based on SVD and DCT. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, vol. 12, pp. 283–286, November 2009

    Google Scholar 

  11. Lai, C.C., Tsai, C.C.: Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans. Instrum. Meas. 59(11), 3060–3063 (2010)

    Article  Google Scholar 

  12. Joel, N.: Franklin: Matrix theory. Dover Publications, New York (2000)

    Google Scholar 

  13. Xia, Z.H., Wang, X.H., Sun, X.M., Wang, B.W.: Steganalysis of least significant bit matching using multi-order differences. Secur. Commun. Netw. 7(8), 1283–1291 (2014)

    Article  Google Scholar 

  14. Xia, Z.H., Wang, X.H., Sun, X.M., Liu, Q.S., Xiong, N.X.: Steganalysis of LSB matching using differences between nonadjacent pixels. Multimedia Tools Appl. 75(4), 1947–1962 (2016)

    Article  Google Scholar 

Download references

Acknowledgement

This work is supported by the National Science Foundation of China (61402209, 61563022), Invention Patent Industrialization Demonstration Project of Jiangxi Province (20143BBM26113), Youth Science Fund Major Projects of Jiangxi Province (20161ACB21009), Guild of technological innovation of science and technology projects in Jiangxi Province (20161BBE53004). A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions and Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology.

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Authors and Affiliations

  1. School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi, 333403, China

    Junxiang Wang & Ying Liu

  2. School of Computer and Software, Nanjing University of Information Science and Technology, Jiangsu, 210000, China

    Junxiang Wang

Authors
  1. Junxiang Wang
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  2. Ying Liu
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Corresponding author

Correspondence to Junxiang Wang .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Wang, J., Liu, Y. (2016). Schur Decomposition Based Robust Watermarking Algorithm in Contourlet Domain. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-48671-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48670-3

  • Online ISBN: 978-3-319-48671-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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