Steganalysis of degraded document images

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

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

Abstract

In this paper, a steganalysis technique using compression bit rate as a distinguishing statistic is presented to detect secret messages embedded in document images that are degraded in quality by printing, photocopying, and/or scanning processes. We consider embedding techniques that flip pixels in binary document images that contain characters and symbols. Noise introduced by printing, photocopying, and/or scanning can be modelled by a local optical distortion process. Steganographic embedding is modelled as an additive noise process and we use compression bit rate as a distinguishing statistic to discriminate between stego images and unmarked images. Experimental results showed that the proposed technique can detect stego images wtih reasonably good accuracy, given the inherent difficulty of the problem.

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 - 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
CountryChina
CityShanghai
Period10/30/0511/2/05

ASJC Scopus subject areas

  • Signal Processing

Fingerprint Dive into the research topics of 'Steganalysis of degraded document images'. Together they form a unique fingerprint.

Cite this