JPEG image steganalysis based on feature fusion and sparse representation
Liu Hui-xin · Modern Electronics Technique · 2015
A new steganalysis method of JPEG images is proposed in this paper,which is based on feature fusion and sparse representation. The extraction method of the selected features is introduced. The complementarity and redundancy among the selected features are analysed. The principal component analysis(PCA) method is adopted perform the dimension reduction and fusion of the selected features. The vector total variation is utilized to execute the sparse resolution according to the fused features and the sparse representation is used to detect steganography. Theoretical analysis and experimental results show that this method has a higher detection rate than that of the single feature sparse representation method.