Universal Steganalysis Method Based on Multi-domain Features
Yan Yan · Journal of Information and Computational Science · 2013
A new method of universal steganalysis for BMP images, which had low embedding rate and based on multi-domain features, is proposed in this paper. It provided a way to extract statistical features from multi-domain for universal steganalysis and solved the problem of low detection rate for a small amount of data embedding. Features were extracted from gradient energy differences in spatial domain, correlation coefficient in DCT domain, and the mean and standard deviation of difference value matrix in DWT domain. Experiments results show that detection achieved a better reliability when the embedding capacity is above 2 KB, compared with existing methods.