遗传算法和小波变换相融合的视频水印算法

Video Watermarking Algorithm Based on the Fusion of Genetic Algorithm and Wavelet Transform

水印算法对视频产品的版权保护、内容认证具有重要的意义,为了在不影响视频质量的前提下,提高视频的安全,防止出现视频产品非法侵权及盗版等问题,提出了遗传算法和小波变换的视频水印算法。首先分析当前国内外对视频水印算法的研究进展,找到引起当前视频水印效果不理想的原因,然后采集视频,采用小波变换对原始视频进行多尺度分解,并采用遗传算法智能搜索水印信息嵌入的最优位置,对水印信息进行置乱,将水印信息嵌入到最优位置,最后与其他当前经典视频水印算法进行了对比测试。结果表明,视频水印算法具有很好不可见性,可以对各种恶意攻击具有很强的鲁棒性,不仅加强了视频水印的安全性,而且视频水印质量要明显优于当前经典视频水印算法。

The watermark algorithm is of great significance to the copyright protection and content authentication of video products. In order to improve the security of video without affecting the quality of digital video, and prevent the illegal infringement and piracy of video products, a video watermark algorithm based on genetic algorithm and wavelet transform is proposed. Firstly, the research progress of video watermarking algorithms at home and abroad is analyzed, and the reasons that cause the unsatisfactory effect of video watermarking are found. Then, video is collected, wavelet transform is used to decompose the original digital video, and genetic algorithm is used to search the optimal position of embedding watermark information. The watermark information is scrambled and embedded. At last, the optimal location is compared with the current classical video watermarking algorithm. The results show that the video watermarking algorithm proposed in this paper is invisible, robust to all kinds of malicious attacks, and enhances the security of video watermarking, and the quality of video watermarking is obviously better than the current classic video watermarking algorithm.