Blind steganalysis algorithm based on correlation and SVD techniques
Liu Xiao-qin · Journal of Computer Applications · 2008
Aiming at the steganographic model with the additive noise in the block-DCT(Discrete Cosine Transform)domain,a new blind steganalysis algorithm based on the Singular Value Decomposition(SVD)techniques was proposed.A new mathematical model was constructed,accounting for inter and intra-block correlations of the DCT coefficients.Using the SVD technology,the features of the images were extracted,and the eigenvector was built.The discrimination function was presented for detection the secret messages of the digital images without knowledge of original cover images.The experimental results show that the reliability rate of the detection is 90%,and its general performance is superior to that of the general detection algorithm.