| 结合WS残差法和MAP载体估计的隐写负载定位 |
| |
| 引用本文： | 闫晓蒙,张涛,李文祥,平西建.结合WS残差法和MAP载体估计的隐写负载定位[J].应用科学学报,2014,32(4):401-408. |
| |
| 作者姓名： | 闫晓蒙 张涛 李文祥 平西建 |
| |
| 作者单位： | 解放军信息工程大学信息系统工程学院，郑州450002 |
| |
| 基金项目： | 国家自然科学基金(No.61272490, No.60903221)资助 |
| |
| 摘 要： | 针对最不重要比特位(least significant bit, LSB)替换隐写算法，将加权载密图像(weighed-stego, WS)残差法和最大后验概率(maximum a posteriori, MAP)载体估计法相结合，提出了一种改进的载体估计方法. 首先利用WS方法初步定位负载，然后将该初步定位结果作为先验信息应用到改进的MAP载体估计算法中，可以
得到更精确的载体估计算法，最后计算残差得到最终的负载定位结果. 实验表明，无论是针对空域BMP图像还是JPEG解压缩图像上的LSB替换隐写，该方法均能提高负载定位的准确率，且对于不同嵌入率也有较好的稳健性.
|
| 关 键 词： | 隐写分析 LSB替换 载体估计 负载定位 |
| 收稿时间： | 2013-11-03 |
| 修稿时间： | 2014-03-12 |
Locating Steganographic Payload by Combining WS Residuals and MAP Cover Estimator |
| |
| YAN Xiao-meng,ZHANG Tao,LI Wen-xiang,PING Xi-jian.Locating Steganographic Payload by Combining WS Residuals and MAP Cover Estimator[J].Journal of Applied Sciences,2014,32(4):401-408. |
| |
| Authors: | YAN Xiao-meng ZHANG Tao LI Wen-xiang PING Xi-jian |
| |
| Institution: | Institute of Information System Engineering, PLA Information Engineering University,Zhengzhou 450002, China |
| |
| Abstract: | This paper proposes a modified method of payload location aimed at least significant bit replacement (LSB-R) by combining weighed-stego (WS) residuals with maximum a posteriori (MAP) cover estimator.We use the WS residuals to locate payloads, and take the results as a priori information to apply the modified MAP cover estimator to get more accurate cover estimates. The residuals are then computed to locate payloads. Experimental results demonstrate effectiveness of the approach in locating payloads both on JPEGdecompressed images and originally lossless stored images. Furthermore, the proposed approach is suitable for payload location with different embedding rates. |
| |
| Keywords: | steganalysis LSB replacement cover estimation payload location |
|
| 点击此处可从《应用科学学报》浏览原始摘要信息 |
| 点击此处可从《应用科学学报》下载免费的PDF全文 |
