基于Arnold变换的图像信息伪装算法

Image Steganography Based on Arnold Transform

在对图像以二维Arnold变换置乱的基础上,根据八邻域内像素之间的相关性来确定LSB(最低有效位)的替换方式,提取时只需提取置乱图像的LSB即可。该算法结合了图像置乱技术和改进的LSB嵌入方案,使嵌入的数据获得了抗检测和抗提取的双层安全保障。实验结果表明,该算法能够有效地抵抗RS(Regular Singular)和SPA(Sample PairAnalysis)隐写分析,并保持了图像的直方图统计特征,此外,适用于灰度图像和彩色图像,易于实现。

In the foundation of scrambling image by tow-dimensional Arnold transform,the LSB（ Least Significant Bit） embedding scheme is determined by the correlation between the pixels in the eight neighborhood. The embedded message can be extracted from LSBs of transformed image. The presented steganography approach combines image scrambling technology and modified LSB embedding and provides double protection for the embedded message, which makes the embedded message undetectable and unextractable by the attacker. Experimental results show that the proposed approach is undetectable by RS（ Regular Singular） analysis and SPA （Sample Pair Analysis） analysis 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.