一阶统计特征保持的图像信息伪装算法

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，且同样适用于彩色图像．

Image Steganography Preserving First-order Statistical Properties

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.