Universal Image Steganalysis Based on Wavelet Packet Decomposition and Empirical Transition Matrix in Wavelet Domain

摘要：

In the paper, a new universal image steganalysis system based on wavelet packet decomposition (WPD) and empirical transition matrix in wavelet domain is proposed. First, it decomposes the test image using two-level Haar WPD. The statistical analysis is made both for the test image and their wavelet packet subbands. Second, it exploits the interscale and intrascale dependencies between wavelet coefficients. Markov empirical transition matrices are used to capture these dependencies. Fisher linear discriminator (FLD) is applied as classifier to distinguish between cover images and stego images. The experimental results have demonstrated that the proposed scheme has outperformed the existing steganalyzers in attacking a wide range of steganographic schemes include SSIS (Spread spectrum image steganography), Hide4PGP, Jsteg, F5, OutGuess.

关键词： steganalysis wavelet packet decomposition empirical transition matrix fisher linear discriminator

作者: Xiaoyuan Yang Yu Lei Xiaozhong Pan Jia Liu

作者单位: Network and Information Security Key Laboratory, Electronics Department of Engineering College of the APF, Xian, China

会议类型: 国际会议

会议名称: 2009 International Forum on Computer Science-Technology and Applications(2009年国际计算机科学技术与应用论坛 IFCSTA 2009)

会议地点: 重庆

会议语种:英文

页码: 661-664

在线出版日期: 2009-12-25（万方平台首次上网日期，不代表论文的发表时间）