摘要
F5是经典的JPEG图像隐写算法之一。文章分析了JPEG图像F5隐写算法嵌入后产生收缩效应的原因,发现JPEG图像8×8分块内Z扫描顺序下两个相邻频率位置0,1系数组合在嵌入前后发生了不同程度的变化。在此基础上提取了基于同一分块内、水平和垂直相邻的两个分块内相邻频率位置0,1系数组合差异的12维特征,并运用支持向量机进行分类。实验结果表明,文章算法实现了F5算法的有效检测。
F5 is one of the classical steganographic algorithms in JPEG images. This paper analyzes the reason why the shrinkage is brought about in F5 steganography. It is found that the coefficient combinations of 0,1 at the two neighboring frequency places following the Zig-zag scan change differ- ently after steganography in the 8 × 8 blocks of the JPEG images . Then, 12 characters based on the differences of coefficient combinations of 0,1 in the same block and in the two horizionly and verti- cally neighboring blocks at the same frequency places are taken and the Support Vector Machine (SVM) can be used to classify the cover and the stego images. The experiment results demonstrate that the proposed algorithm is effective for detecting F5 steganography.
出处
《信息工程大学学报》
2009年第2期184-187,共4页
Journal of Information Engineering University
基金
国家自然科学基金资助项目(60473022)
关键词
数字隐写
隐写分析
JPEG
F5
0
1系数组合差异
steganography
steganalysis
JPEG
F5
differences of coefficient combination of 0,1