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New framework for using image contents in blind steganalysis systems

[+] Author Affiliations
Hossein Amirkhani

Amirkabir University of Technology, Department of Computer Engineering and Information Technology, Hafez Avenue, Tehran, Iran

Mohammad Rahmati

Amirkabir University of Technology, Department of Computer Engineering and Information Technology, Hafez Avenue, Tehran, Iran

J. Electron. Imaging. 20(1), 013016 (March 29, 2011). doi:10.1117/1.3554413
History: Received February 21, 2010; Revised January 20, 2011; Accepted January 24, 2011; Published March 29, 2011; Online March 29, 2011
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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.

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Citation

Hossein Amirkhani and Mohammad Rahmati
"New framework for using image contents in blind steganalysis systems", J. Electron. Imaging. 20(1), 013016 (March 29, 2011). ; http://dx.doi.org/10.1117/1.3554413


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