Mixed Norm Regularized Discrimination for Image Steganalysis

The purpose of image steganalysis is to detect the presence of hidden messages in cover images. Steganalysis can be considered as a pattern recognition process to decide which class a test image belongs to: the innocent photographic image or the stego-image. This paper presents a definition of mixed L-p,L-q matrix norm as an extension of L-2,L-1 matrix norm. We incorporate discriminative mixed L-p,L-q matrix norm analysis to select the features which best preserve the data distribution, e.g., manifold structure, of the whole feature sets. Experiments on different data sets verify the effectiveness of the proposed approach and the selected features are more discriminate.