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| JPEG Steganalysis Using Quad-tree Based Segmentation |
| Wang Ran Ping Xi-jian Xu Man-kun Li Wen-xiang Zhang Tao |
| Institute of Information System and Engineering, Information Engineering University, Zhengzhou 450002, China |
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Abstract The traditional image steganalysis methods are based on the features extracted from the whole image, while ignoring the differences of the image content. A new JPEG steganalysis algorithm using quad-treebased segmentation is proposed. First, the given images are segmented to sub-images according to the texture complexity. Then, then steganalysis features of each sort of sub-images with the same or close texture complexity are extracted separately to build a classifier. Finally, the steganalysis results of the whole image are obtained by weighted fusing of all the sub-image categories. Experimental results demonstrate that the proposed algorithm exhibits excellent performance and significantly improves the detection accuracy.
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Received: 16 May 2013
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Corresponding Authors:
Wang Ran
E-mail: wangran721@gmail.com
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2014, Vol. 36 
