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Perceptual Digital Watermarking for Image Authentication in Electronic Commerce

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Abstract

Digital watermarking has been presented to protect the copyright of electronic multimedia data. The previous proposed watermarking algorithms mostly embed sequences of random numbers or binary images as the watermarks. In this paper, an image accreditation technique by embedding digital gray-level image watermarks in images is proposed. In the proposed method, the host image and the watermark are decomposed into wavelet coefficients. The contextual energies of the host-image wavelet coefficients are computed to select embedding coefficients. The watermark wavelet coefficients are sorted and then embedded in the selected host coefficients. The experiments show that the proposed method provides extra robustness against JPEG-compression, image-processing, and even composite attacks compared to the traditional embedding methods. Moreover, the proposed method has no need of the original image to extract the embedded watermarks. The proposed method facilitates electronic commerce application developers to select adequate digital watermarking techniques for their development systems.

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References

  1. Cox, I.J., J. Kilian, F.T. Leighton, and T. Shamoon. (1997). “Secure Spread Spectrum Watermarking for Multimedia.” IEEE Trans. Image Processing 6(12), 1673–1687.

    Google Scholar 

  2. Dugad, R., K. Ratakonda, and N. Ahuja. (1998). “A New Wavelet-Base for Watermarking Image.” In Proc. of Int. Conf. on Image Processing Vol. 2, pp. 419–423.

    Google Scholar 

  3. Hsieh, M.-S., D.-C. Tseng, and Y.-H. Huang. (2001). “Hidden Digital Watermarks Using Multiresolution Wavelet Transform.” IEEE Trans. Industrial Electronics 48(5), 875–882.

    Google Scholar 

  4. Hsu, C.-T. and J.-L.Wu. (1998). “DCT-Based Watermarking for Video.” IEEE Trans. Consumer Electronics 44(1), 206–216.

    Google Scholar 

  5. Hsu, C.-T. and J.-L. Wu. (1999). “Hidden Digital Watermarks in Images.” IEEE Trans. Image Processing 8(1), 58–68.

    Google Scholar 

  6. Inoue, H., A. Miyazaki, A. Yamamoto, and T. Katsura. (1998). “A Digital Watermark Based on the Wavelet Transform and its Robustness on Image Compression.” In Proc. of IEEE Int. Conf. Image Processing Vol. 2, pp. 391–395.

    Google Scholar 

  7. Mallat, S. (1989). “Multifrequency Channel Decomposition of Images and Wavelets Models.” IEEE Trans. Acoustics Speech and Signal Processing 37(12), 2091–2110.

    Google Scholar 

  8. Nikolaidis, N. and I. Putas. (1996). “Copyright Protection of Images using Robust Digital Signatures.” In Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing Vol. 4, pp. 2168–2171.

    Google Scholar 

  9. Pitas, I. (1996). “A Method for Signature Casting on Digital Image.” In Proc. of Int. Conf. on Image Processing Vol. 3, pp. 215–218.

    Google Scholar 

  10. Podilchuk, C.I. and W. Zeng. (1998). “Image-Adaptive Watermarking Using Visual Models.” IEEE J. Selected Areas in Communications 16(4), 525–539.

    Google Scholar 

  11. Swanson, M., M. Kobayashi, and A. Tewfik. (1998). “Multimedia Data-Embedding and Watermarking Technologies.” IEEE Proceedings 86(6), 1064–1087.

    Google Scholar 

  12. Wang, H.-J. and C.-C. J. Kuo. (1998). “Image Protection via Watermarking on Perceptually Significant Wavelet Coefficients.” In Proc. of IEEE Int. Conf. Multimedia Signal Processing pp. 279-284.

  13. Wei, Z.H., P. Qin, and Y.Q. Fu. (1998). “Percept Digital Watermark of Images Using Wavelet Transform.” IEEE Trans. Consumer Electronics 44(4), 1267–1272.

    Google Scholar 

  14. Weinberger, M.J., J.J. Rissanen, and R.B. Arps. (1996). “Applications of Universal Context Modeling of Lossless Compression of Gray-scale Images.” IEEE Trans. Image Procession 5, 575–586.

    Google Scholar 

  15. Wu, C.-F. and W.-S. Hsieh. (2000). “Digital Watermarks Using Zerotree of DCT.” IEEE Trans. Consumer Electronics 46(1), 87–94.

    Google Scholar 

  16. Wu, X. and J. Chen. (1997). “Context-Modeling and Entropy Coding of Wavelet Coefficients for Image Compression.” In Proc. of ICASSP'97 Munich, Germany, pp. 3097-3100.

  17. Xia, X.-G., C.G. Boncelet, and G.R. Arce. (1997). “A Multiresolution Watermark for Digital Images.” In Proc. of IEEE Int. Conf. Image Processing Vol. 1, pp. 548–551.

    Google Scholar 

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Hsieh, MS., Tseng, DC. Perceptual Digital Watermarking for Image Authentication in Electronic Commerce. Electronic Commerce Research 4, 157–170 (2004). https://doi.org/10.1023/B:ELEC.0000009286.58045.dd

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  • DOI: https://doi.org/10.1023/B:ELEC.0000009286.58045.dd

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