摘要
为了提高隐写系统抗统计检测的能力,对影响隐写算法统计安全性的因素进行了分析,得出减小载密图像统计失真的3条途径。以此为基础,提出一种基于双层湿纸嵌入的图像自适应隐写算法。该算法根据邻域相关性,选取局部环境噪声强的像素作为嵌入对象,利用"湿纸码(WPC)"在其最低有效位及次低有效位嵌入秘密信息。对未压缩图像库的实验表明,该方法比现有算法具有更好的抗统计检测性能。
In order to enhance the statistical security of a data hiding system,the factors that influenced the security of a steganography were analyzed.Three ways to reduce the statistical distortion of the stego-image were found： Increasing embedding efficiency,controlling modifying amplitude and choosing embedding position adaptively.According to the three ways,a new adaptive steganography based on double-layered embedding method was proposed.The new scheme chose pixels under strong noise background as message carrier and embedded secrets in their least significant and second least significant bit-planes.The experimental results on uncompressed images show that the proposed steganography outperforms the prior algorithm for resisting blind steganalysis.
出处
《计算机应用》
CSCD
北大核心
2011年第5期1280-1283,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(6090322160970142)
关键词
自适应隐写
邻域相关性
隐写模型
抗盲检测
双层嵌入
adaptive steganography
local correlation
embedding model
resisting blind steganalysis
double-layered embedding
