基于混沌和LWT-SVD的盲信息隐藏算法

为了提高秘密信息的安全性和鲁棒性,将混沌、提升小波变换（LWT）和奇异值分解（SVD）结合,提出一种盲信息隐藏算法。首先将要隐藏的秘密图像用混沌序列进行加密;然后对载体图像进行提升小波变换,并对低频子带进行分块奇异值分解;最后根据最大奇异值最高位的奇偶性将已加密的秘密图像进行隐藏。提取秘密图像时,不需要载体图像。仿真实验表明,该算法隐蔽性好,对加噪、滤波、旋转、剪切、缩放和JPEG压缩等攻击具有良好的鲁棒性。

Blind Information Hiding Algorithm Based on Chaos and LWT-SVD

To improve the security and robustness of secret information,this paper proposed a novel robust blind information Hiding Algorithm for images based on chaos,lifting wavelet transform（LWT）and singular value decomposition（SVD）.Firstly,the original secret information is encrypted by chaos before embedded.Secondly,the carrier image is decomposed through lifting wavelet transform,and partitioned the obtained low frequency subband into blocks and then applied SVD to the blocks.Finally,encryption information is embedded by judging the parity of the most significant digit of the biggest singular value in every block.It does not need original carrier image when the secret information is extracted.Experimental results show that the algorithm has good concealment and robustness to noise addition,filtering,rotation,cropping,scaling and JPEG compressing.