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A New Technique for Digital Image Watermarking

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Abstract

In this paper, a new technique is proposed for rotation, scaling and translation (RST) invariant image watermarking based on log-polar mappings (LPM) and phase-only filtering (POF). The watermark is embedded in the LPM of Fourier magnitude spectrum of the original image, and a small portion of resulting LPM spectrum is used to calculate the watermark positions. This technique avoids computing inverse log-polar mapping (ILPM) to preserve the quality of the watermarked image, and avoids exhaustive search to save computation time and reduce false detection. Experimental results demonstrate that the digital watermarking technique is invariant and robust to rotation, scaling, and translation transformation.

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References

  1. Ding Wei, Yan Weiqi, Qi Dongxu. Digital image watermarking based on discrete wavelet transform. J. Comput. Sci. & Technol., 2002, 17(2): 129–138.

    Google Scholar 

  2. Hartung F, Girod B. Digital watermarking of raw and compressed video. In Proc. European EOS/SPIE Symposium on Advanced Imaging and Network Technologies, 1996, 2952: 205–213.

  3. Kutter M. Watermarking resistant to translation, rotation, and scaling. In Proc. SPIE, 1998, 3628: 423–431.

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

  5. Zhao J, Hayasaka R, Muranoi R, Ito M, Matsushita Y. A video copyright protection system based on contentID. IEICE Trans. Information and Systems, 2000, E83-D(12): 2131–2141.

    Google Scholar 

  6. Ruanaidh J, Pun T. Rotation, scale, and translation invariant digital image watermarking. Signal Processing, 1998, 66(3): 303–317.

    Article  Google Scholar 

  7. Lin C, Wu M, Bloom J, Cox I, Miller M, Lui Y. Rotation, scale, and translation resilient watermarking for images. IEEE Trans. Image Processing, 2001, 10(5): 767–782.

    Google Scholar 

  8. Behar J, Porat M, Zeevi Y. Image reconstruction from localized phase. IEEE Trans. Signal Processing, 1992, 40(4): 736–743.

    Article  Google Scholar 

  9. Urieli S, Porat M, Cohen N. Image characteristics and representation by phase: From symmetric to geometric structure. In Proc. Int. Conf. Image Processing, 1996, 1: 705–708.

  10. Oppenheim A, Lim J. Importance of phase in signals. In Proc. IEEE, 1981, 69(5): 529–541.

  11. D Zheng, J Zhao, A El Saddik. RST invariant digital image watermarking based on log-polar mapping and phase correlation. IEEE Trans. Circuits and Systems for Video Technology, Special Issue on Authentication, Copyright Protection and Information Hiding, September 2003.

  12. Horner J L, Gianino P D. Phase-only matched filtering. Appl. Opt., 1984, 23: 812–816.

    Google Scholar 

  13. Yao J, Lebreton G. Scale-invariant correlation with truncated phase-only radial harmonic filters. Optics Communications, 1998, 145: 213–219.

    Article  Google Scholar 

  14. Gonzalez R, Woods R. Digital Image Processing. Prentice-Hall, 2002, ISBN: 0-201-18075-8.

  15. Brwon L G. A survey of image registration techniques. ACM Computing Surveys, 1992, 24(4): 325–376.

    Google Scholar 

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Authors and Affiliations

  1. Information Engineering Department, Guangdong Economics and Management College, Guangzhou, 510400, P.R. China

    Xiang-Sheng Wu

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  1. Xiang-Sheng Wu
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Correspondence to Xiang-Sheng Wu.

Additional information

Supported by the China Scholarship Council (Grant No.2001-3048).

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Wu, XS. A New Technique for Digital Image Watermarking. J Comput Sci Technol 20, 843–848 (2005). https://doi.org/10.1007/s11390-005-0843-1

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  • DOI: https://doi.org/10.1007/s11390-005-0843-1

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