Skip to main content

BPCS-Steganography – Principle and Applications

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hall, E.L.: Computer Image Processing and Recognition. Academic Press, New York (1979)

    MATH  Google Scholar 

  2. Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs (1989)

    MATH  Google Scholar 

  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. 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. Kawaguchi, E., Taniguchi, R.: The DF-Expression as an image thresholding strategy. IEEE Trans. on SMC 19(5), 1321–1328 (1989)

    Google Scholar 

  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)

    Article  Google Scholar 

  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. 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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kawaguchi, E. (2005). BPCS-Steganography – Principle and Applications. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_41

Download citation

  • DOI: https://doi.org/10.1007/11554028_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics