基于混沌序列的改进LSB隐写算法

An Improved Algorithm of LSB Based on the Chaotic Sequence

LSB替换算法会导致含密图像的统计不对称性、直方图异常等现象,给LSB隐写分析留下可乘之机。其改进方法LSB匹配隐写算法能有效弥补此缺点,但该方法是非盲提取技术,通信时增加了额外开销。本文用Logistic双混沌系统分别对秘密图像进行置乱处理和嵌入位面的随机选取,将替换和匹配的思想相结合,有效克服了含密图像统计不对称性、直方图异常等现象,具有与LSB匹配隐写等效的对抗LSB隐写分析的能力,而且是一种盲提取算法。实验表明,该算法是高效的,安全的。

The replacement algorithm of LSB leads to statistical asymmetry and abnormality of histogram for stego-image, and give the opportunity to steganalysis. As improved method, LSB matching algorithm can avoid the disadvantages, but it’s non-blind extraction technology which increases communication overhead. In this paper, one of the two logistic chaotic sequences is used to scramble the embedden-image and another is used to decide the bit-plane of cover-image which will be embedded. The algorithm combines replacement and matching technology, so that it overcome the disadvantages of statistical asymmetry and abnormality of histogram for stego-image, has the same ability of anti-steganalysis as LSB matching algorithm, and belongs to blind extraction technology.The Experiments results show that this algorithm is efficient and safe.