Steganalysis of LSB matching in grayscale images
Steganalysis of LSB matching in grayscale images
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DOI：
10.1109/lsp.2005.847889
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发表时间：
2005-05
影响因子：
3.9
通讯作者：
Andrew D. Ker
中科院分区：
文献类型：
--
作者：
Andrew D. Ker
我们考虑的问题，检测空间域最低有效位（LSB）匹配隐写在灰度图像，这已被证明比它的对应，LSB替换困难得多。我们使用的直方图特征函数（HCF），介绍了由Harmsen的检测隐写在彩色图像，但灰度图像无效。介绍了应用HCF的两种新方法：使用下采样图像校准输出和计算邻接直方图而不是通常的直方图。大量的实验结果表明，新的探测器是可靠的，比以前已知的探测器更可靠。
We consider the problem of detecting spatial domain least significant bit (LSB) matching steganography in grayscale images, which has proved much harder than for its counterpart, LSB replacement. We use the histogram characteristic function (HCF), introduced by Harmsen for the detection of steganography in color images but ineffective on grayscale images. Two novel ways of applying the HCF are introduced: calibrating the output using a downsampled image and computing the adjacency histogram instead of the usual histogram. Extensive experimental results show that the new detectors are reliable, vastly more so than those previously known.