The abstract should summarize the contents of the paper and should Steganography is a technique to hide secret information in some other data (we call it a vessel) without leaving any apparent evidence of data alteration. All of the traditional steganographic techniques have limited information-hiding capacity. This is because the principle of those techniques was either to replace a special part of the frequency components of the vessel image, or to replace all the least significant bits of a multi-valued image with the secret information. Our new steganography uses an image as the vessel data, and we embed secret information in the bit-planes of the vessel. This technique makes use of the characteristics of the human vision system whereby a human cannot perceive any shape information in a very complicated binary pattern. We can replace all of the “noise-like” regions in the bit-planes of the vessel image with secret data without deteriorating the image quality. We termed our steganography “BPCS-Steganography,” which stands for Bit-Plane Complexity Segmentation Steganography.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Hall, E.L.: Computer Image Processing and Recognition. Academic Press, New York (1979)MATHGoogle Scholar
  2. 2.
    Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs (1989)MATHGoogle Scholar
  3. 3.
    Kawaguchi, E., Endo, T., Matsunaga, J.: Depth-first picture expression viewed from digital picture processing. IEEE Trans. on PAMI 5(4), 373–384 (1983)Google Scholar
  4. 4.
    Kawaguchi, E., Taniguchi, R.: Complexity of binary pictures and image thresholding - An application of DF-Expression to the thresholding problem. In: Proceedings of 8th ICPR, vol. 2, pp. 1221–1225 (1986)Google Scholar
  5. 5.
    Kawaguchi, E., Taniguchi, R.: The DF-Expression as an image thresholding strategy. IEEE Trans. on SMC 19(5), 1321–1328 (1989)Google Scholar
  6. 6.
    Kamata, S., Eason, R.O., Kawaguchi, E.: Depth-First Coding for multi-valued pictures using bit-plane decomposition. IEEE Trans. on Comm. 43(5), 1961–1969 (1995)CrossRefGoogle Scholar
  7. 7.
    Kawaguchi, E., Niimi, M.: Modeling Digital Image into Informative and Noise-Like Regions by Complexity Measure. In: Information Modelling And Knowledge Bases XV, pp. 255–265. IOS Press, Amsterdam (1998)Google Scholar
  8. 8.
    Nozaki, K., Noda, H., Kawaguchi, E., Eason, R.: A Model of Unforgeable Digital Certificate Document System. In: Information Modelling And Knowledge Bases XVI, pp. 203–210. IOS Press, Amsterdam (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Eiji Kawaguchi
    • 1
  1. 1.Research Institute for Digital Media and ContentKeio UniversityTokyoJapan

Personalised recommendations