摘要
目前基于变换域的信息隐藏算法面临容量较小,提取时需要原始图像的问题。提出了一种基于小波变换的大容量信息隐藏盲提取算法,该算法结合人类视觉特性(HVS)及隐密信息自身的特征,以三次小波变换后的低频分量作为参照自适应地调整中高频子带系数来实现信息的嵌入。实验结果表明,该算法具有容量大的特点,并实现了隐密信息的盲提取。
At present, information hiding algorithm based on transform domain is facing the problem of low capacity and the original image is needed when secret data is extracted. High capacity blind information hiding algorithm based on wavelet transform is presented. Data embedding rule based on consulting low frequency coefficients of thrice discrete wavelet transform （DWT）, the algorithm adjusted high frequency coefficients of DWT adaptively according to the characters of human visual system and secret data. Experimental results show that this algorithm has high capacity. The original image is not needed to extract secret data.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第14期3795-3797,3801,共4页
Computer Engineering and Design
基金
贵州省科研基金项目(黔科合20052109)
