基于小波变换和HVS的视频水印算法研究

Research on Video Watermarking Algorithm Based on Wavelet Transform and HVS

为解决视频数据的版权保护问题,提出了一种以二进制图像为视频水印信号,使用混沌序列和ARnold置乱处理加密水印,结合人体视觉系统(Human Vision System,HVS)对图像纹理区域、运动区域的掩蔽特性,通过小波变换将其嵌入到视频自适应频带的一种隐水印视频水印算法。该算法采用Matlab编程仿真,通过实验结果数据分析,证明该算法具有较好的隐秘性、随机检测性、保密性、实时性和鲁棒性。

In order to solve the copyright protection problem of the video data,a video watermarking algorithm is proposed,in which binary images are regarded as video watermarking signals and chaotic sequences and ARnold scrambling are used to encrypt watermarks.Meanwhile,in this watermark-hiding algorithm,the masking characteristics of the Human Vision System(HVS)on the image texture area and motion area are also embedded into the video adaptive frequency band through the wavelet transform.The algorithm is programmed and simulated in Matlab,and through the analysis of the experimental data,it is proved that this real-time algorithm has good performance in concealment,random detection,confidentiality and robustness.