提升方案小波和HVS下的自适应视频水印算法研究  

Adaptive Video Watermarking Algorithm with Lifting Scheme Wavelet and HVS

作　　者：楼偶俊[1] 王相海[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院

出　　处：《小型微型计算机系统》2008年第4期734-740,共7页Journal of Chinese Computer Systems

基　　金：辽宁省自然基金项目(20032125)资助;辽宁省高等学校优秀人才支持计划(RC-04-11)资助;大连市科技基金计划资助

摘　　要：提出一种基于小波域与HVS特性的自适应视频水印盲提取算法.算法首先将视频流分割成一个个镜头,并通过密钥从中选取嵌入水印信息的若干镜头,镜头中的视频帧图像与灰度水印图像均被变换到小波域中,并将水印图像的小波域系数按照小波树结构重新进行分块并按位平面重要次序形成水印序列;水印的嵌入是按照子带到子带的顺序进行的,水印序列被嵌入到视频帧图像相应子带的重要系数中;此外,水印的嵌入充分考虑了HVS对图像纹理区域、运动区域的掩蔽特性,使得水印的嵌入强度具有自适应性,从而保证了所嵌入水印在不可见性前提下的极大鲁棒性.试验结果表明,所给出的算法对于诸如Gaus-sian噪声、丢帧、帧平均和MPEG-4压缩等常见攻击具有很好的鲁棒性.In this paper,an blind adaptive Video watermarking algorithm based on lifting scheme wavelet and HVS is proposed. The algorithm first partitions the video stream into several shots, some of which are Selected with a key to embed the watermarking. And both the frames of the selected shots and the grayscale＇watermarking are transformed into wavelet domain. The wavelet coefficients of the watermarking image are re-organized according to the wavelet tree structure and then ordered in terms of bit-plane significance to generate watermarking sequence. Secondly, the watermarking sequence is embedded band-to- band in the significant coefficients of video frames. During the embedding process, the HVS masking characteristics of texture area and motion area are considered to adaptively adjust the embedding strength which can enhance the watermarking robustness as much as possible without harming its invisibility. The simulation results prove that the propose algorithm is well robust to common attacks such as Gaussian noise, frame loss, frame average and MPEG-4 compression, etc.

关 键 词：视频水印 提升方案小波 纹理 运动 鲁棒性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]