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Steganographic capacity of images, based on image equivalence classes
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International Multimedia Conference archive
Proceedings of the 2001 workshop on Multimedia and security: new challenges table of contents
Ottawa, Ontario, Canada
SESSION: Steganographical approaches table of contents
Pages: 36 - 39  
Year of Publication: 2001
ISBN:1-58113-393-6
Authors
Klaus Hansen  University of Copenhagen, Copenhagen Ø, Denmark
Christian Hammer
Lars R. Randleff
Jens D. Andersen
Sponsor
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

The problem of hiding information imperceptibly can be formulated as the problem of determining if a given image is a member of a sufficiently large equivalence class of images which to the Human Visual System appears to be the same image. This makes it possible to replace the given image with a modified image similar in appearance but carrying imperceptibly coded information. This paper presents a framework and an experimental algorithm to estimate upper bounds for the size of an equivalence class.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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R. Buccigross and E. Simoncelli. Image compression via joint statistical characterization in the wavelet domain. IEEE Transactions on Image Processing, 8(12):1688--1701, 1999.
 
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C. Hammer and L. R. Randleff. Steganografi i billeder baseret på en model af human perception. Master's thesis, Dept. of Computer Science, University of Copenhagen, 2000. In Danish.
 
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J. Justesen and Y. M. Shtarkov. The combinatorial entropy of images. Problemy Peredachi Informatsii, 33:3--11, 1997.
 
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R. A. Moses and J. William M. Hart. Physiology of the eye, Clinical Application. The C. V. Mosby Company, 1987.
 
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Collaborative Colleagues:
Klaus Hansen: colleagues
Christian Hammer: colleagues
Lars R. Randleff: colleagues
Jens D. Andersen: colleagues