Blind steganalysis based on features in fractional Fourier transform domain
Chao-en Zhou, Jiuchao Feng, Yixian Yang · 2009
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.