Four-class blind image steganalysis
Bo Xu · Hebei Sheng Kexueyuan xuebao · 2007
A new method of 4 classifications for blind image steganalysis is proposed.26 image quality measures which are related to steganographic are analyzed,and some of effective features based on the analysis of variance technique are choosed.Then a 4-class support vector machine with these features is trained and tested a new blind steganalysis of hiding image is implemented.This method can not only detect the presence of hidden message but also identify the hiding domains.The experiment results show that this method can identify steganographic domains at higher distinguish ratio.