Blind Image Steganalysis Based on Statistical Analysis of Empirical Matrix

In this paper, a novel steganalysis method based on statistical analysis of empirical matrix (EM) is proposed to detect the presence of hidden message in an image. The projection histogram (PH) of EM is used to extract features composed of two parts: the moments of PH and the moments of the characteristic function of PH. Also, features extracted from prediction-error image by Yun Q. Shi et al, (2005) are included to enhance performance. SVM is utilized as classifier. A test database is constructed, based on which a detailed test for different categories of features and a comparison with methods in prior arts are conducted. Experiments show that the features we proposed are more effective than prior arts and our steganalysis method could blindly detect the presence of data hiding for various embedding schemes with high performance