文献类型：会议论文

英文题名：A universal steganalysis using features derived from the differential image histogram in frequency domain

作者：Deng, Qian-Lan[1]; Lin, Jia-Jun[1]

机构：[1] Computer Science Department, East China University of Science and Technology, Shanghai, China

会议论文集：Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

会议日期：October 17, 2009 - October 19, 2009

会议地点：Tianjin, China

语种：英文

外文关键词：Image processing - Design for testability - Graphic methods - Frequency domain analysis - Support vector machines

摘要：This paper proposed an image steganalysis scheme based on the differential image histogram in frequency domain. The difference is calculated in three directions, horizontal, vertical and diagonal towards adjacent pixels to obtain three-directional differential images for a natural image. Then the features for steganalysis are extracted from the DFT of the histogram of differential images and divided into low and high frequency bands. Support vector machine (SVM) with RBF kernel is applied as classifier to distinguish between stego images and cover images. We test the performance of our proposed steganalysis method over spread spectrum (SS) data hiding method, LSB method and QIM data hiding method. The experiment results have proved that the proposed method is effective in attacking these steganograhic schemes applied in spatial domain. ?2009 IEEE.