基于四叉树分割的JPEG隐写分析  

JPEG Steganalysis Using Quad-tree Based Segmentation

作　　者：汪然[1] 平西建[1] 许漫坤[1] 李文祥 张涛[1] 

机构地区：[1]信息工程大学信息系统工程学院,郑州450002

出　　处：《电子与信息学报》2014年第3期631-638,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61272490)资助课题

摘　　要：当前主要的隐写分析方法都是对整幅图像进行特征提取,而忽略了图像的内容差异。该文提出一种基于四叉树分割的JPEG隐写分析方法,该方法根据图像块的纹理复杂度进行图像分割,对具有相同统计特性的子图像分别进行隐写检测特征的提取,并构造相应的分类器,通过加权融合得到最终的检测结果。实验结果表明该方法具有良好的性能,尤其是在训练与测试图像的统计特性具有较大差异时,该算法的检测准确率提高更加明显。The traditional image steganalysis methods are based on the features extracted from the whole image, while ignoring the differences of the image content. A new JPEG steganalysis algorithm using quad-treebased segmentation is proposed. First, the given images are segmented to sub-images according to the texture complexity. Then, then steganalysis features of each sort of sub-images with the same or close texture complexity are extracted separately to build a classifier. Finally, the steganalysis results of the whole image are obtained by weighted fusing of all the sub-image categories. Experimental results demonstrate that the proposed algorithm exhibits excellent performance and significantly improves the detection accuracy.

关 键 词：信息隐藏 JPEG隐写分析 图像分割 四叉树 纹理复杂度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]