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Genetic Watermarking for Zerotree-Based Applications

  • Digital Watermarking and Multimedia Security
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Abstract

An optimized scheme for watermarking based on zerotrees is proposed in this paper. Digital watermarking is an effective means for protecting copyrights with three of the most fundamental requirements: watermark imperceptibility, watermark robustness, and watermark capacity. Conventional techniques in the literature mainly perform watermark embedding and extraction processes in the transform domain, including the discrete Fourier transform, discrete cosine transform, and discrete wavelet transform domains. The three watermarking requirements above are in conflict with each other; therefore, finding a way to obtain a trade-off among them is the major purpose of this paper. We first perform watermarking in the wavelet domain. Next, we properly select zerotrees in a wavelet transform with the genetic algorithm. Our simulation results not only demonstrate better performances of the watermarked images after optimization, but also reveal the robustness of the extracted watermarks under common attacks.

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References

  1. Chang, F.-C., Huang, H.-C., Hang, H.-M.: Layered access control schemes on watermarked scalable media. J. VLSI Signal Process. Syst. Signal Image Video Technol. 49(3), 443–455 (2007)

    Article  Google Scholar 

  2. De Vleeschouwer, C., Delaigle, J.-F., Macq, B.: Invisibility and application functionalities in perceptual watermarking—an overview. Proc. IEEE 90(1), 64–77 (2002)

    Article  Google Scholar 

  3. Gen, M., Cheng, R.: Genetic algorithms and engineering design. Wiley, New York (1997)

    Google Scholar 

  4. Gonzalez, R.C., Woods, R.E.: Digital image processing. Addison-Wesley, Reading (1992)

    Google Scholar 

  5. Hsieh, M.S., Tseng, D.C.: Image subband coding using fuzzy inference and adaptive quantization. IEEE Trans. Syst. Man Cybern. B 33(3), 509–513 (2003)

    Article  Google Scholar 

  6. Hsu, C.-T., Wu, J.-L.: Hidden digital watermarks in images. IEEE Trans. Image Process. 8(1), 58–68 (1999)

    Article  Google Scholar 

  7. Huang, H.-C., Wang, F.H., Pan, J.S.: A VQ-based robust multi-watermarking algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. E-85A(7), 1719–1726 (2002)

    Google Scholar 

  8. Inoue, H., Miyazaki, A., Yamamoto, A., Katsura, T.: A digital watermark technique based on the wavelet transform and its robustness on image compression and transformation. IEICE Trans. Fundam. 82-A(1), 2–10 (1999)

    Google Scholar 

  9. Pan, J.S., Hsin, Y.C., Huang, H.-C., Huang, K.C.: Robust image watermarking based on multiple description vector quantisation. Electron. Lett. 40(22), 1409–1410 (2004)

    Article  Google Scholar 

  10. Pan, J.S., Huang, H.-C., Jain, L.C. (editors): Intelligent watermarking techniques. World Scientific, Singapore (2004)

    MATH  Google Scholar 

  11. Pan, J.S., Huang, H.-C., Jain, L.C., Fang, W.C. (editors): Intelligent multimedia data hiding: new directions. Springer, Berlin (2007)

    Google Scholar 

  12. Pan, J.S., Sung, M.T., Huang, H.-C., Liao, B.Y.: Robust VQ-based digital watermarking for the memoryless binary symmetric channel. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. E-87A(7), 1839–1841 (2004)

    Google Scholar 

  13. Pennebaker, W.B., Mitchell, J.L.: JPEG: still image data compression standard. Van Nostrand Reinhold, New York (1993)

    Google Scholar 

  14. Petitcolas, F.A.P.: Image watermarking—Stirmark, http://www.petitcolas.net/fabien/watermarking/stirmark/ (2004)

  15. Radha, H.M., van der Schaar, M., Chen, Y.: The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP. IEEE Trans. Multimedia 3(1), 53–68 (2001)

    Article  Google Scholar 

  16. Shieh, C.S., Huang, H.-C., Wang, F.H., Pan, J.S.: An embedding algorithm for multiple watermarks. J. Inf. Sci. Eng. 19(2), 381–395 (2003)

    Google Scholar 

  17. Shieh, C.S., Huang, H.-C., Wang, F.H., Pan, J.S.: Genetic watermarking based on transform domain techniques. Pattern Recognit. 37(3), 555–565 (2004)

    Article  Google Scholar 

  18. Taubman, D., Marcellin, M.: JPEG2000: image compression fundamentals, standards and practice. Kluwer Academic, Boston (2001)

    Google Scholar 

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Correspondence to Hsiang-Cheh Huang.

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Chu, SC., Huang, HC., Shi, Y. et al. Genetic Watermarking for Zerotree-Based Applications. Circuits Syst Signal Process 27, 171–182 (2008). https://doi.org/10.1007/s00034-008-9025-z

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  • DOI: https://doi.org/10.1007/s00034-008-9025-z

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