摘要
利用双树复小波变换提取出视频图像的运动特征图、对比敏感图、纹理特征图和场景变化情况,综合确定视觉不敏感点,从而构造出用于嵌入秘密信息的隐写位置图,并结合湿纸编码实现了信息的隐写。算法不需要接收者知道具体的嵌入位置便能够实现信息的提取,避免了重复获得隐写位置图的大量运算,并且不必考虑增加冗余以修正隐写操作引起的隐写位置重新判断误差,提高了提取效率和安全性。实验表明,算法具有较高的嵌入容量和良好的隐写不可见性,可以满足隐蔽通信的要求。
By using the dual-tree complex wavelet transform（DT-CWT）,this paper extracted video images＇motion feature maps,contrast sensitivity maps,texture maps and scene changing points,and used all above to get the least sensitive points to compose the embedding location maps,and then uses wet paper coding to hide messages.The recipient did not need to know the specific location of the embedded information to achieve secret message extraction,and that avoided a large number of operational costs.More than that,it avoided increasing the redundancy to correct the error when determining the embedding position again.Therefore,the algorithm obtained a high safety and extraction efficiency.Experiments show that the algorithm can meet the requirements of steganography embedding capacity and the invisibility of covert communication.
出处
《计算机应用研究》
CSCD
北大核心
2012年第6期2228-2231,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60842006)
武警工程大学基础基金研究项目(wjy201127)
关键词
视频隐写
视觉感知特性
双树复小波变换
隐写位置图
湿纸编码
video steganography
visual perception characteristics
dual-tree complex wavelet transform（DT-CWT）
embedding location map
wet paper codes
