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Wavelet Packet Based Digital Watermarking for Remote Sensing Image Compression

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Computer and Information Sciences - ISCIS 2003 (ISCIS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2869))

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Abstract

In this paper, a new watermark algorithm that based on wavelet packet transform is proposed for the watermark of remote sensing images, which include many high frequency components. The proposed watermark algorithm is used in the high frequency component of image and applies watermark to the overall subband that include the lowest frequency band. And the watermark is embedded on original image after selecting the significant wavelet packet coefficient. For selecting significant coefficients that apply watermark, zerotree is applied to packet transform using CPSO (Coefficient Partitioning Scanning Order) for imperceptibly and robustness. From the experimental result, the proposed algorithm shows better invisibility and robustness performance compare with conventional watermark methods. Especially, it demonstrates better robustness for high image compression in the remote sensing images application.

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References

  1. Christophe, D., Delaigle, J., Macq, B.: Invisibility and Application Functionalities in Perceptual Watermarking - An Overview. Proceedings of the IEEE 90(1) (2002)

    Google Scholar 

  2. Xia, X., Boncelet, C., Arce, G.: A multiresolutional watermark for digital images. In: IEEE Int. Conf. on Image Processing, vol. 1, pp. 548–557 (1997)

    Google Scholar 

  3. Han, S., Cho, S.: Wavelet Packet Image Coder Using Coefficients Partitioning for Remote Sensing Images. In: lpPRIA 2003 (1st Iberian Conference on Pattern Recognition and Image Analysis) (2003)

    Google Scholar 

  4. Coifman, R., Wickerhauser, M.: Entropy-based algorithms for best basis selection. IEEE Trans. on Information Theory 38(2), 713–718 (1992)

    Article  MATH  Google Scholar 

  5. Shapiro, J.: Embedded image coding using zerotree wavelet coefficients. IEEE Trans. on Signal Processing 41, 3445–3462 (1993)

    Article  MATH  Google Scholar 

  6. Said, A., Pearlman, W.: A new fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. on Circuits and Systems for Video Tech. 6, 243–250 (1996)

    Article  Google Scholar 

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

    Article  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Cho, SY., Han, SY. (2003). Wavelet Packet Based Digital Watermarking for Remote Sensing Image Compression. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_60

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  • DOI: https://doi.org/10.1007/978-3-540-39737-3_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20409-1

  • Online ISBN: 978-3-540-39737-3

  • eBook Packages: Springer Book Archive

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