Steganalysis of halftone images

Ming Jiang, Edward K. Wong, Nasir Memon, Xiaolin Wu

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

Abstract

In this paper, we present a novel steganalysis technique for halftone images without knowledge of the original cover image. We first convert halftone images into grayscale-like images by low-pass filtering. The low-pass-filtered image is then decomposed using quadrature mirror filters, and a set of subband coefficients are generated at different scales and orientations. Next, a set of statistical features are computed from the subband coefficients and their predicated errors. Using Fisher linear discriminant analysis, a statistical classifier is designed to detect marked images. Experimental results demonstrate the effectiveness and accuracy of the proposed technique.

Original languageEnglish (US)
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
PagesII793-II796
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeII
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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