一阶统计特征保持的图像信息伪装算法  

Image Steganography Preserving First-order Statistical Properties

作　　者：张雷[1] 平西建[1] 张涛[1] 

机构地区：[1]信息工程大学信息工程学院,郑州450002

出　　处：《计算机辅助设计与图形学学报》2005年第1期99-104,共6页Journal of Computer-Aided Design & Computer Graphics

摘　　要：首先分析了基于位平面替换的信息伪装算法的状态转移模型 ,推导了随机消息序列嵌入LSB平面后的隐秘图像统计特征 ,在此基础上构造了基于直方图修整的秘密消息嵌入方法 该算法具有良好的一阶统计特征保持特性 ,易于实现 实验表明 ,RS分析、样值对分析等针对LSB算法的隐写分析算法未能检测出隐蔽信息 该算法具有良好的抗隐写分析性能 。In this paper, an image steganographic algorithm preserving the first-order statistical properties is proposed. We firstly analyze the state transition model of LSB-based algorithms and derive the statistical properties of stego-image, then the message embedding method based on histogram modification is built. It has the good character of preserving first-order statistical properties and can be implemented conveniently. Experimental results show that this approach achieves good performance of avoiding detection, existing steganalysis techniques against LSB-based algorithm such as RS analysis and sample pair analysis failed to detect the existence of hidden messages. This approach is also applicable for color images.

关 键 词：信息伪装 隐写分析 最不重要位 状态转移 直方图修整 一阶统计特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]