JPEG steganalysis based on parallel feature fusion by principal component analysis
HE Feng-yin · Fuzhou daxue xuebao. Ziran kexue ban · 2014
Aiming to the problems in the existing JPEG steganalysis schemes,such as high redundancy in features and feature selection lacking of theoretical basis,this study proposes a JPEG steganalysis approach based on feature fusion by the principal component analysis( PCA) and analysis of the complementarity among features.The study fuses complementary features and isolates redundant components by PCA,and finally uses RBaggSVM classifier for classification.Experimental results show that this scheme effectively improves the detection rate of steganalysis in JPEG images and achieves faster speed of image classification.