JPEG steganalysis based on Tri-training semi-supervised learning
Yanqing Guo · DOAJ (DOAJ: Directory of Open Access Journals) · 2008
A JPEG steganalytic method based on semi-supervised learning algorithm was presented.Using three catego-ries of statistical features for JPEG images and multiple hyperspheres one-class SVM,three classifiers were generated from the original labeled example set.These classifiers were then refined using unlabeled examples in the Tri-training process,which could effectively improve detecting ability by exploiting a large amount of unlabeled images.Experimen-tal results showed the effectiveness of our proposed method.