A New Steganalysis Method Using High-pass Filter for JPEG Image

Abstract

A new and universal steganalysis scheme for JPEG images was proposed. Moments in frequency domain of wavelet sub-bandpsilas histogram was extracted to analyze the difference of histogram between cover image and stego image, at the same time, used high-pass filter to strengthen the image in order to make the discontinuity among blocks become more obvious, so the extracted block characteristic will be more sensitive to the steganographic action. Then Support Vector Machine (SVM) was used to classify the extracted 40 dimensional feature vectors. The experimental results of 3 popular JPEG steganographic schemes (F5, Outguess and MB1) demonstrate that the proposed scheme has the advantage in detection rate and speed.