A data mapping method for steganography and its application to images

Hao Tian Wu*, Jean Luc Dugelay, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

In this paper, a new steganographic method that preserves the first-order statistics of the cover is proposed. Suitable for the passive warden scenario, the proposed method is not robust to any change of the stego object. Besides the relative simplicity of both encoding and decoding, high and adjustable information hiding rate can be achieved with our method. In addition, the perceptual distortion caused by data embedding can be easily minimized, such as in the mean squared error criterion. When applied to digital images, the generic method becomes a sort of LSB hiding, namely the LSB+ algorithm. To prevent the sample pair analysis attack, the LSB+ algorithm is implemented on the selected subsets of pixels to preserve some important high-order statistics as well. The experimental results of the implementation are promising.

Original languageEnglish
Title of host publicationInformation Hiding - 10th International Workshop, IH 2008, Revised Selected Papers
PublisherSpringer Verlag
Pages236-250
Number of pages15
ISBN (Print)3540889604, 9783540889601
DOIs
Publication statusPublished - 2008
Event10th International Workshop on Information Hiding, IH 2008 - Santa Barbara, CA, United States
Duration: 19 May 200821 May 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5284 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Information Hiding, IH 2008
Country/TerritoryUnited States
CitySanta Barbara, CA
Period19/05/0821/05/08

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Bijective mapping
  • First-order statistics
  • LSB algorithm
  • Sample pair analysis
  • Steganography

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