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A Block-Based Watermarking Method Using Wavelet Coefficient Quantization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5574))

Abstract

A watermarking technique is referred to as blind if the original image is not needed for extraction. In this paper, a blind watermarking method based on discrete wavelet transform (DWT) using maximum wavelet coefficient quantization is proposed. The wavelet coefficients are grouped into different block size with each block being randomly selected from different subbands. The watermark is embedded in the local maximum coefficient which can effectively resist attacks. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks.

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References

  1. Wang, S.H., Lin, Y.P.: Wavelet tree quantization for copyright protection watermarking. IEEE Trans. Image Processing 13(2), 154–165 (2004)

    Article  Google Scholar 

  2. Li, E., Liang, H., Niu, X.: An integer wavelet based multiple logo-watermarking scheme. In: Proc. IEEE WCICA, pp. 10256–10260 (2006)

    Google Scholar 

  3. Lien, B.K., Lin, W.H.: A watermarking method based on maximum distance wavelet tree quantization. In: 19th Conf. Computer Vision, Graphics and Image Processing, pp. 269–276 (2006)

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  4. Wu, G.D., Huang, P.H.: Image watermarking using structure based wavelet tree quantization. In: ICIS, Melbourne, Australia, pp. 315–319 (2007)

    Google Scholar 

  5. Tsai, M.J., Lin, C.L.: Constrained wavelet tree quantization for image watermarking. In: Proc. IEEE ICC Glasgow, Scotland, pp. 1350–1354 (2007)

    Google Scholar 

  6. Shapiro, J.M.: Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Processing [see also IEEE Trans. Acoust., Speech, Signal Processing] 41(12), 3445–3462 (1993)

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  7. Lin, W.H., Horng, S.J., Kao, T.W., et al.: An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Trans. Multimedia 10(5), 746–757 (2008)

    Article  Google Scholar 

  8. Petitcolas, F.A.P.: Weakness of existing watermark scheme (1997), http://www.petitcolas.net/fabien/watermarking/stirmark/index.html

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© 2009 Springer-Verlag Berlin Heidelberg

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Lin, WH., Wang, YR., Horng, SJ. (2009). A Block-Based Watermarking Method Using Wavelet Coefficient Quantization. In: Hua, A., Chang, SL. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2009. Lecture Notes in Computer Science, vol 5574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03095-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-03095-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03094-9

  • Online ISBN: 978-3-642-03095-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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