Features-pooling blind JPEG image steganalysis

Chiew Kang Leng, Josef Pieprzyk

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)
33 Downloads (Pure)


In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationdigital image computing: techniques and applications, DICTA 2008, 1-3 December 2008 Canberra, Australia
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Print)9780769534565
Publication statusPublished - 2008
Externally publishedYes
EventDigital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia
Duration: 1 Dec 20083 Dec 2008


OtherDigital Image Computing: Techniques and Applications, DICTA 2008
CityCanberra, ACT

Bibliographical note

Copyright 2008 IEEE. Reprinted from DICTA 2008 : digital image computing techniques and applications : proceedings : 1-3 December 2008 Canberra, Australia. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.


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