A New Hybrid DCT and Markov and Ondelette Based JPEG Image Steganalysis Technique
Imen Bouguerne · SSRN Electronic Journal · 2012
In the past several years, so many feature sets for steganalysis were proposed to detect stego images. These features were based on different ideas and were considered to be effective for most steganography schemes. In this paper, a universal steganalysis scheme for JPEG images based upon hybrid transform features is presented. We first analyzed two different transform domains (Discrete Cosine Transform and Wavelet Transform) separately, to extract features for steganalysis. Then a combination of these two feature sets were constructed and employed for steganalysis. However, a systematical comparison of these features have not been made in previous papers. In order to get a view of performance for current features in state of art, we designed several experiments to make an evaluation of them. Experiment results and conclusion drawn from it were proposed in this paper.