JPEG image steganalysis improvement via image-to-image variation minimization | Macquarie University ResearchOnline

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Title: JPEG image steganalysis improvement via image-to-image variation minimization
Related: International Conference on Advanced Computer Theory and Engineering (1st : 2008) (20 - 22 December 2008 : Phuket, Thailand)
Related: Proceedings : 2008 International Conference on Advanced Computer Theory and Engineering : 20-22 December 2008, Phuket, Thailand, p.223-227
DOI: 10.1109/ICACTE.2008.94
Publisher: Los Alamitos, Calif : IEEE Computer Society
Date: 2008
FoR/RFCD Code(s): 089900 Other Information and Computing Sciences
Author/Creator: Leng, Chiew Kang
Author/Creator: Pieprzyk, Josef
Description: 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.
Description: 5 page(s)
Subject Keyword: 089900 Other Information and Computing Sciences
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/115367
Identifier: ISBN:9780769534893
Identifier: mq-rm-2009008393
Language: eng
Rights: 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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