基于显著特征的Video水印方案  

Watermarking scheme based on the salient feature of Video

作　　者：杨世勇[1] 葛建华[1] 刘培[1] 蔡泽鉴[1] 

机构地区：[1]西安电子科技大学综合业务网国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2004年第6期882-885,共4页Journal of Xidian University

基　　金：国家自然科学基金资助项目(60332030)

摘　　要：为了使水印的分布集中在Video序列中图像显著的边缘特征中,提出了基于帧图像内容的模糊熵测度(FEM)算法,对序列图像特征系数的修改是局部自适应的,水印嵌入的强度随着图像局部变化而变化.在没有原始Video数据的情况下,利用Kalman滤波预测对水印信息进行检测和估计,能够使嵌入的商标在检测端得到恢复以表明数字产品的版权.实验结果表明,所提出的水印方案,对于Video序列中水印的嵌入及提取具有很好的效果而且可作为可靠的版权保护工具而应用.To lay the watermarking information in the notable features areas of video, an algorithm for fuzzy entropy measure (FEM) is proposed. The embedding watermark strength varies with the statistic of the local feature coefficients of the original image, with the modification of these coefficients being self-adaptive. The logo can be detected certainly from the watermarked video sequence by a special Kalman filter without the original video data, and will provide an indication of the copyright existence. Experimental results show that the proposed scheme is effective and turns out to be a reliable authentication tool for the digital Video.

关 键 词：Video水印 版权保护 模糊熵 混沌映射 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]