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基于小波系数相关性的图像隐写分析
引用本文:徐攀,苏光伟.基于小波系数相关性的图像隐写分析[J].计算机工程与应用,2012,48(28):178-182,213.
作者姓名:徐攀  苏光伟
作者单位:1. 武警工程大学通信工程系,西安,710086
2. 武警工程大学电子技术系网络与信息安全武警部队重点实验室,西安,710086
基金项目:国家自然科学基金项目(No.61103231);武警工程大学基础基金(No.wjy201027)
摘    要:提出了一种基于小波包分解和小波系数相关性的通用型图像隐写分析方法。对差分处理后的图像进行小波包分解,提取图像及其小波子带的高阶统计量作为特征。利用图像小波系数在尺度方向和空间方向的相关性,使用马尔可夫模型挖掘小波系数层内和层间相关性,提取转移概率矩阵作为特征。针对H4PGP、F5和OutGuess隐写算法的实验表明,方法对上述三种隐写算法具有较好的检测效果。

关 键 词:隐写分析  小波包分解  小波系数相关性

Image steganalysis based on wavelet coefficient dependencies
XU Pan , SU Guangwei.Image steganalysis based on wavelet coefficient dependencies[J].Computer Engineering and Applications,2012,48(28):178-182,213.
Authors:XU Pan  SU Guangwei
Affiliation:1.Department of Communication Engineering,Engineering University of the Chinese Armed Police Force,Xi’an 710086,China 2.Key Laboratory of Network & Information Security under the Chinese Armed Police Force,Department of Electronic Technology,Engineering University of the Chinese Armed Police Force,Xi’an 710086,China
Abstract:In the paper,a new image steganalysis technique using wavelet packet decomposition and wavelet coefficient dependencies is proposed.It decomposes the preprocessing image using wavelet packet decomposition and extracts the higher-order statistics of the image and its wavelet packet sub bands as features.It exploits the scale and orientation dependencies between wavelet coefficients and extracts intrascale and interscale features using Markov matrices.The experiments on H4PGP,F5 and OutGuess steganography show the method can detect stego images reliably.
Keywords:steganalysis  wavelet packet decomposition  wavelet coefficient dependency
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