一种改进的LSB数字图像隐藏算法*

目前针对常用的LSB信息隐藏,SPA分析(sample pair analysis)和RS方法(regularand singular groups method)能以很高的精度估计出图像中隐藏信息的比率。基于几何变换的性质，提出了一种可用于图像置乱技术的亚仿射变换，并利用矩阵编码思想改进LSB的嵌入方式，从而使嵌入数据获得了较好的抗隐写分析性能。实验结果表明，该算法能有效抵抗RS和SPA隐写分析，并保持图像的直方图统计特征，且适用于灰度图像和彩色图像，易于实现。

Improved LSB steganography method

As for the common LSB steganography,SPA(sample pair analysis) and(regularand singular groups method) could estimate the embedding rate in image with high precision.This paper presented a subset of affine transformation with integer coefficients and invariance of image area to realize the scrambling of digital image,a perfect steganographic encoding scheme based on linear block code theory LSB stegano-graphy,which made the embedded messages have more steganalysis counteraction ability.Experimental results show that the proposed approach is undetectable by RS(regular singular)steganalysis and SPA(sample pair analysis)steganalysis and the histogram's statistical property is preserved well.Otherwise,it is applicable for both gray images and color images and can be implemented conveniently.