Forensics aided steganalysis of heterogeneous images

We tackle the problem of the steganalysis of images produced by different sources. We first use a classifier to try to understand the image source and then use a version of the steganalyzer that has been explicitly trained to work with images belonging to the correct class. These classifiers are widely available from the image forensics literature and have reached a good level of maturity hence making the proposed approach feasible. We tested the goodness of our approach on a case study in which a steganalyzer is asked to analyze both computer generated and camera images. The results we obtained are promising encouraging further research in this direction.