JPEG image steganalysis improvement via image-to-image variation minimization

Chiew Kang Leng, Josef Pieprzyk

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

1 Citation (Scopus)
9 Downloads (Pure)

Abstract

In this research, we introduce an approach to enhance the discriminative capability of features by employing image-to-image variation minimization. In order to minimize image-to-image variation, we will estimate the cover image from the stego image by decompressing the stego image, transforming the decompressed image and re-compressing back. Since the effect of the embedding operation in an image steganography is actually a noise adding process to the image, applying these three processes will smooth out the noise and hence the estimated cover image can be obtained.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2008 International Conference on Advanced Computer Theory and Engineering: 20-22 December 2008, Phuket, Thailand
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages223-227
Number of pages5
ISBN (Print)9780769534893
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008 - Phuket, Thailand
Duration: 20 Dec 200822 Dec 2008

Other

Other2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008
CountryThailand
CityPhuket
Period20/12/0822/12/08

Bibliographical note

Copyright 2008 IEEE. Reprinted from Proceedings : 2008 International Conference on Advanced Computer Theory and Engineering : 20-22 December 2008, Phuket, Thailand. 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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