Blind Steganalysis for Hiding Domains Based on Multi-class SVM
Fan Feng · Jisuanji gongcheng · 2008
This paper proposes a method to identify hiding domains(including the pixel,DCT,and DWT domains),constructs image features.Multi-class Support Vector Machine(SVM) is trained based on image features.The method can detect the presence of hidden message,and identify the hiding domains.Experimental results show that,the distinguish ratio rises while the embed capacity rising;the distinguish ratio can reach 85% when the embed capacity is 20%.