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2008
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Blind image steganalysis based on run-length histogram analysis

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Blind image steganalysis based on run-length histogram analysis
In this paper, a new, simple but effective method is proposed for blind image steganalysis, which is based on run-length histogram analysis. Higher-order statistics of characteristic functions of three types of image run-length histograms are selected as features. Support vector machine is used as classifier. Experimental results demonstrate that the proposed scheme significantly outperforms prior arts in detection accuracy and generality.
Jing Dong, Tieniu Tan
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIP
Authors Jing Dong, Tieniu Tan
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