一种基于图像内容的隐写分析方法  

Steganalysis Based on Image Contents

作　　者：李韬[1] 平西建[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《应用科学学报》2013年第4期394-401,共8页Journal of Applied Sciences

基　　金：国家自然科学基金(No.60970142)资助

摘　　要：数字图像已成为信息隐藏的一类重要载体,然而不同内容的图像对隐写分析呈现出不同的检测性能.该文基于图像信源区域平稳马尔可夫特性,用方差度量图像的区域复杂度,运用四叉树分割方法对图像进行递归分解,提取对数字隐写较为敏感的平坦区域,并从这些区域提取游程长度直方图统计矩特征,最后结合支持向量机实现隐藏信息检测.实验结果表明,依据图像内容分割出敏感区域进行隐写分析可有效改善检测性能.Digital images are important covers in information hiding, It has been shown that steganalytic methods perform differently on images with different contents. Based on regionally stationary Markov char-acteristics of natural images, a new steganalysis method based on image segmentation is proposed. Quad-tree segmentation based on local Variance is used to locate areas sensitive to message embedding. Features based on run length histogram are then extracted and optimized. Finally, detection of steganography is done using support vector machine. Experimental results show that the proposed steganalysis method outperforms pre-vious methods in detection accuracy.

关 键 词：隐写分析 图像内容 四叉树 游程长度直方图 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]