Image steganalysis based on statistical moments of wavelet subband histograms in DFT domain

Guorong Xuan, Jianjiong Gao, Yun Q. Shi, Dekun Zou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

This paper proposed an image steganalysis scheme based on statistical moments of histogram of multi-level wavelet subbands in frequency domain. Our theoretical analysis has pointed out that the statistical moments in frequency domain of histogram is more sensitive to data embedding than the statistical moments of histogram in spatial domain. We test the performance of our proposed scheme over non-blind spread spectrum (SS) data hiding method, blind SS method, block based SS method, LSB method and QIM data hiding methods. Besides, steganographic tools such as Outguess, JSteg and F5 are tested. The experimental results have showed that the proposed method outperforms the prior arts by Farid and Harmsen.

Original languageEnglish (US)
Title of host publication2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
PublisherIEEE Computer Society
ISBN (Print)0780392892, 9780780392892
DOIs
StatePublished - Jan 1 2005
Event2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005 - Shanghai, China
Duration: Oct 30 2005Nov 2 2005

Publication series

Name2005 IEEE 7th Workshop on Multimedia Signal Processing

Other

Other2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005
Country/TerritoryChina
CityShanghai
Period10/30/0511/2/05

All Science Journal Classification (ASJC) codes

  • Signal Processing

Keywords

  • Histogram
  • Statistical moments
  • Steganalysis
  • Steganography
  • Wavelet decomposition

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