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Journal of Electronic Imaging

New framework for using image contents in blind steganalysis systems
Author(s): Hossein Amirkhani; Mohammad Rahmati
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Paper Abstract

Although current blind image steganalysis systems utilize a wide variety of features and classifiers, a common shortcoming in all of them is that they almost have similar processes for all images and they do not take advantage of the content diversity of different images. In this paper, a new framework is proposed that enables us to employ the content of images in these systems. All blind image steganalysis methods can be adapted to the proposed framework. In the training phase of our framework, the input images are first divided into classes according to an image content evaluation criterion and then the training process is specialized for each class. In the testing phase, a fuzzy approach is used to include different classes in the decision making process. Experimental results demonstrate that the proposed framework significantly enhance the detection accuracy of these systems.

Paper Details

Date Published: 1 January 2011
PDF: 14 pages
J. Electron. Imag. 20(1) 013016 doi: 10.1117/1.3554413
Published in: Journal of Electronic Imaging Volume 20, Issue 1
Show Author Affiliations
Hossein Amirkhani, Amirkabir Univ. of Technology (Iran, Islamic Republic of)
Mohammad Rahmati, Amir Kabir Univ. of Technology (Iran, Islamic Republic of)

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