| 基于小波系数相关性的图像隐写分析 |
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| 引用本文： | 彭见阳,潘峰,雷雨.基于小波系数相关性的图像隐写分析[J].武警工程学院学报,2012(2):32-34. |
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| 作者姓名： | 彭见阳 潘峰 雷雨 |
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| 作者单位： | [1]武警工程大学研究生管理大队,陕西西安710086 [2]武警工程大学电子技术系,陕西西安710086 |
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| 摘 要： | 提出了一种新的针对空域图像隐写的盲检测方法。利用互信息分析秘密信息嵌入对图像小波系数在尺度方向和空间方向相关性的影响，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，以支持向量机（SVM）作为分类器。针对LSB匹配和随机调制隐写算法。实验表明，本方法能有效检测到未经JPEG压缩过的含密图像。
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| 关 键 词： | 隐写 小波系数 支持向量机（SVM） |
Image Steganalysis is Based on Based on Dependencies between Wavelet Coefficients |
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| PENG Jian-yang,PAN Feng,LEI Yu.Image Steganalysis is Based on Based on Dependencies between Wavelet Coefficients[J].Journal of Engineering College of Armed Police Force,2012(2):32-34. |
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| Authors: | PENG Jian-yang PAN Feng LEI Yu |
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| Institution: | 1. Postgraduate Brigade; 2. Electric Department, Engineering University of CAPF , Xi＇an 710086, China) |
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| Abstract: | Mutual information is exploited to analyse the change on the scale and orientation dependencies between wavelet coefficients which is caused by the embedding of a message. Markov model is applied to mod- el the dependencies between wavelet cofficients so as to extract intrascale and interscale transition probability matrices. Support Vector Machine（SVM） is applied asclassifier. The experiments on LSB matching and sto- chastic modulation steganography show the method can detect uneompressed stego images reliably . |
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| Keywords: | steganalysis wavelet coefficient Support Vector Machine （SVM） |
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