JPEG steganalysis based on parallel feature fusion by quaternion
Jian Yang · Journal of Computer Applications · 2013
Feature fusion has become a heated research topic in steganalysis.In order to solve the problems in the existing feature fusion methods,such as feature dimension disaster in serial feature fusion method and only two kinds of features can be integrated in parallel feature fusion method,this paper proposed a JPEG steganalysis approach based on parallel feature fusion by quaternion.The method firstly selected the four fusion features,and then isolated redundant components by the Principal Component Analysis(PCA),finally combined four features as quaternion vector to achieve multi-feature parallel fusion using the four components of the quaternion.The experimental results show that,compared with the traditional feature fusion method,the proposed method effectively improves the detection rate of steganalysis in JPEG images,and has better robustness.