Blind Steganalysis Based on Features in Fractional Fourier Transform Domain

摘要：

Based on the good property of fractional Fourier transform (FRFT), two kinds of features of an image are extracted, i.e., the FRFT coefficients of image histogram and the histogram of image FRFT coefficients. Then, blind steganalysis is implemented to the features by using the support vector machine (SVM). The performance with respect to the two features is evaluated and compared by simulation. The results indicate that the classification performance is good, and the former is better than the latter.

作者: Chao-en Zhou Jiu-chao Feng Yi-xian Yang

作者单位: School of Electronic and Information Engineering South China University of Technology, Guangzhou, Ch National Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Tele

会议类型: 国际会议

会议名称: 2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

会议地点: 成都

会议语种:英文

页码: 301-303

在线出版日期: 2009-07-23（万方平台首次上网日期，不代表论文的发表时间）