摘要
为了保护数字视频的版权,提出一种基于粒子群优化和小波变换的视频水印算法,首先对水印图像进行Arnold变换与Logistic混沌映射相结合的灰度置乱预处理以增强其安全性能;再利用直方图帧差法将视频流分为不同的场景,通过密钥从中选取若干场景进行三级三维小波变换;最后借助乘法嵌入方式把水印信息嵌入到小波变换域的中频部分,水印的嵌入强度则由粒子群优化算法(PSO)搜索得出。仿真实验结果表明,该算法能较好的体现水印的鲁棒性和不可见性。
A combination of Particle Swarm Optimization and wavelet transform of the video watermarking algorithm is proposed for the copyright protection of digital video. First, the watermarking is preprocessed by gray scrambling using combination of Arnold transform the logistic chaotic map, and the video sequence is divided into different scenes by histogram frame. Some scenes which are selected with a key are transformed by three levels 3DWT, and watermarking information are embedded in the middle frequency coefficients of discrete wavelet transform by multiplication embedding algorithm, embedding intensity of watermarking by PSO. The simulation results show that the algorithm can better reflect the robustness of the watermarking and invisibility.
出处
《电视技术》
北大核心
2013年第1期8-11,14,共5页
Video Engineering
基金
国家自然科学基金项目(61064006)
江西省教育厅科学技术研究项目(GJJ12348)
江西省自然科学基金项目(2009GZS0009)
关键词
视频水印
嵌入强度
粒子群优化算法
小波变换
乘法嵌入算法
video watermarking
embedding intensity
PSO
wavelet transform
multiplication embedding algorithm
