Influence Analysis of Feature Dimension on Steganalysis Detection
Junwei Shen · Jisuanji gongcheng · 2010
This paper demonstrates and analyzes the affect on steganalysis detection precision rate during image steganalysis detection process caused by feature dimensions,and contrasts the recognition rate of artificial selection with dimensionality reduction algorithm.Result shows that lower dimensionalities of the image feature vector not only make the classifier more effective and reduce the computational complexity,but also improve the image steganalysis detection rate,and the manifold learning algorithm is better than artificial selection in dimensionality reduction.