Based on evidence weight and Dempster-Shafer(D-S) evidence theory, an image steganalysis scheme is presented.
The image is classified predictively by the characters extracted from spatial, discrete cosine transform(DCT) and discrete
wavelet transform(DWT) domain respectively. The basic probability assignments of varies classified results are assigned and
modified by evidence weight. Then the fusion probability assignment function is computed by Dempster’s combinational
rule, and the last decision level fusion classify result is obtained. The detection works are presented to attack typical
steganographical schemes such as F5, JPHide, Jstego and YASS. The simulation results show that the presented method
can significantly improve the performance of single classifier.