Image Steganography Based on Arnold Transform
基于Arnold变换的图像信息伪装算法

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.