摘要
针对现有视频水印算法稳健性不足的问题,结合人类视觉系统,提出一种基于小波变换的运动目标检测视频水印算法。该算法首先将原始帧图像进行8×8分块,分别对每一子块进行Daubechies复杂小波分解,采用基于近似中值滤波的帧间差分法,有效地解决阴影、重影、噪声等问题,更加准确地检测运动目标并标记运动区域;然后对水印进行Arnold置乱和混沌加密预处理,加强水印的安全性;最后将预处理后的水印自适应嵌入在运动区域和高纹理复杂区域中。结果表明,该算法具有较好的不可感知性,并对常见的视频攻击具有较好的稳健性。与现有3种算法的性能比较,说明了该算法的优越性。
For the robustness deficiency of the existing video watermarking algorithms, combined with the human visual system, a new video watermarking algorithm of moving object detection based on wavelet transform domain is put forward. Firstly, the original image is divided into 8 × 8 sub-blocks and each sub-block is decomposed by Daubechies complex wavelet. In order to solve the problems of ghosts, shadows and noise, frame difference method based on approximate median filter is used to detect the moving targets and mark the movement area more accurately. Then the watermarking is preprocessed by using Arnold scrambling and cha- otic eneryption to enhanee the security of the watermark. Finally the moving area and the area with highly texture eomplexity are chosen as the embedding area of video watermarking. The results show that the algorithm has the property of imperceptibility and good robustness against the common video attack. The performance comparison with three existing algorithms also reflects the supe- riority of the proposed algorithm.
出处
《电视技术》
北大核心
2015年第15期6-10,共5页
Video Engineering
基金
江西省教育厅科技项目(GJJ14432
GJJ14431)
关键词
视频水印
小波变换
帧间差分法
运动目标检测
人类视觉系统
video watermarking
wavelet transform
inter-frame difference method
moving object detection
human visual system
作者简介
李淑芝（1964-）。女，教授。硕士生导师。主要研究方向为软件工程、信息隐藏
吴晓燕（1989-）。女，硕士生，主研信息隐藏
张翔（1991-），硕士生，主研视频水印。
