Digital Watermarking of Spectral Images with Three-Dimensional Wavelet Transform

  • Arto Kaarna
  • Jussi Parkkinen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

We propose a watermarking method for spectral images. The watermark is embedded in the three-dimensional wavelet domain of the image. Before embedding, the gray-scale watermark is transformed with the two-dimensional wavelet transform. After embedding the inverse three-dimensional wavelet transform reconstructs the image now containing the watermark. The strength of embedding is controlled by perceptual constraints and reconstruction quality. The experiments indicate, that the robustness against attacks like PCA/wavelet compression is good.

Keywords

Original Image Compression Ratio Spectral Image Multispectral Image Digital Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Artz, D., Digital Steganography: Hiding data within data, IEEE Internet Computing, May/June 2001, pp. 75–80.Google Scholar
  2. 2.
    Podilchuk, C.I., Delp, E.J., Digital watermarking: algorithms and applications, IEEE Signal Processing Magazine, July 2001, pp. 33–46.Google Scholar
  3. 3.
    Barni, M., Bartolini, F., Cappellini, V., Magli, E., Olmo, G., Near-lossless digital watermarking for copyright protection of remote sensing images, Proceedings of IGARSS’02, 2002, pp. 1447–1449.Google Scholar
  4. 4.
    Wolfgang, R.B., Podilchuk, C.I., Delp, E.J., Perceptual watermarks for digital images and video, Proceedings of the IEEE, vol. 87, issue 7, July 1999, pp. 1108–1126.CrossRefGoogle Scholar
  5. 5.
    Cox, I., Miller, M., Bloom, J., Digital Watermarking, Morgan-Kaufmann, San Francisco, USA, 2001.Google Scholar
  6. 6.
    Hsieh, M.-S., Tseng, D.-G., Huang, Y.-H, Hiding digital watermarks using multiresolution wavelet transform, IEEE Transactions on Industrial Electronics, vol. 48, no. 5, Oct. 2001, pp. 875–882.CrossRefGoogle Scholar
  7. 7.
    Kundur, D., Hatzinakos, D., A Robust Digital Image Watermarking Method using Wavelet-Based Fusion, Proceedings of the IEEE Intl. Conference on Image processing, Santa Barbara, California, vol. 1., 1997, pp. 544–547.Google Scholar
  8. 8.
    Cheung, W.N., Digital image watermarking in spatial and transform domains, TENCON Proceedings, vol. 3, 2000, pp. III-374–III-378.Google Scholar
  9. 9.
    Parisis, A., Carre, P., Fernandez-Maloigne, C., Colour watermarking: study of different representation spaces, Proceedings of CGIV, 2002, pp. 390–393.Google Scholar
  10. 10.
    Barni, M., Podilchuk, C.I., Bartolini, F., Delp, E.J., Watermark embedding: hiding signal within cover image, IEEE Comm. Magazine, Aug. 2001, pp.102–108.Google Scholar
  11. 11.
    Ho, A.T.S., Shen, J., Tan, S.H., Kot, A.C., Digital image-in-image watermarking for copyright protection of satellite images using the fast Hadamard Transform, Proceedings of IGARSS’02, 2002, pp. 3311–3313.Google Scholar
  12. 12.
    Daubechies, I., Ten lectures on wavelets, CBMS-NSF, 1992.Google Scholar
  13. 13.
    Mallat, S., A theory for multiresolution signal decomposition: the wavelet presentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, July 1989, pp. 674–693.MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Arto Kaarna
    • 1
  • Jussi Parkkinen
    • 2
  1. 1.Department of Information TechnologyLappeenranta University of TechnologyLappeenrantaFinland
  2. 2.Department of Computer ScienceUniversity of JoensuuJoensuuFinland

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