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  5. Optimum Perfect Steganography of Memoryless Sources as a Rate-Distortion Problem
 
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Optimum Perfect Steganography of Memoryless Sources as a Rate-Distortion Problem

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Author(s)
Balado, Félix 
Haughton, David 
Uri
http://hdl.handle.net/10197/5065
Date Issued
20 November 2013
Date Available
29T10:02:41Z November 2013
Abstract
Slepian’s variant I permutation coding has been recently shown to be a fundamental steganographic tool, as it implements optimum perfect steganography of memoryless sources. Although real host signals are not memoryless, a decorrelating energy-preserving transform can always be applied before a method that assumes a memoryless source, as is usually done in the dual problem of source coding. A further constraint is needed in practice: the information-carrying signal must be close to the host, according to some distance measure. Thus steganography of memoryless sources using permutation coding is a rate-distortion problem. Here we delve deeper in the study of the embedding distortion of permutation coding, and we show that the rate-distortion tradeoff for partitioned permutation coding is nearoptimum according to the Gel’fand and Pinsker capacity formula.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Start Page
174
End Page
179
Copyright (Published Version)
2013, IEEE
Keywords
  • Steganography

  • Decorrelation

  • Distortion

  • Memoryless systems

  • Rate distortion theor...

  • Source coding

DOI
10.1109/WIFS.2013.6707814
Language
English
Status of Item
Peer reviewed
Description
IEEE International Workshop on Information Forensics and Security (WIFS), Guangzhou, China, November 18-21, 2013
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
2
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Jan 27, 2023
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