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计算机工程 ›› 2019, Vol. 45 ›› Issue (3): 250-255,261. doi: 10.19678/j.issn.1000-3428.0052206

• 多媒体技术及应用 • 上一篇    下一篇

基于均值比例与压缩感知的视频双水印算法

王楠1,2,李智1,2,程欣宇1,2,陈怡1,2,罗昊2   

  1. 1.贵州省智能医学影像分析与精准诊断重点实验室,贵阳 550025; 2.贵州大学 计算机科学与技术学院,贵阳 550025
  • 收稿日期:2018-07-25 出版日期:2019-03-15 发布日期:2019-03-15
  • 作者简介:王楠(1993—),女,硕士研究生,主研方向为医学影像分析、图形图像处理、信息隐藏;李智、程欣宇,副教授;陈怡,硕士研究生;罗昊,讲师。
  • 基金资助:

    国家自然科学基金(61462013,61661010);贵州省科学技术基金(黔科合J字[2012]2135号)。

Video Dual Watermarking Algorithm Based on Mean Ratio and Compressive Sensing

WANG Nan1,2,LI Zhi1,2,CHENG Xinyu1,2,CHEN Yi1,2,LUO Hao2   

  1. 1.Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province,Guiyang 550025,China; 2.College of Computer Science and Technology,Guizhou University,Guiyang 550025,China
  • Received:2018-07-25 Online:2019-03-15 Published:2019-03-15

摘要:

针对视频水印算法的视频信息质量和抗攻击能力较差的问题,提出一种视频双水印算法。基于选择分块整体均值和分块均值的稳健性构造鲁棒水印。应用压缩感知构造的脆弱水印定位篡改位置,并对篡改进行适当修复。实验结果表明,该算法具有良好的可视质量和鲁棒性。与多功能双水印算法相比,其峰值信噪比提高12.8%。与自适应视频算法相比,其对于多数几何攻击和信号攻击均表现出较好的抗攻击能力。与传统变换域脆弱水印算法相比,该算法将脆弱水印应用于视频,可增强视频数据的安全性。

关键词: 强鲁棒性, 压缩感知, 篡改定位, 鲁棒水印, 脆弱水印

Abstract:

In order to improve the information quality and anti-attack ability of video watermarking algorithm,a video dual watermarking algorithm is proposed.Robust watermark is constructed by robustness of selecting block global mean and block mean.Based on Compressive Sensing(CS),a fragile watermarking algorithm is constructed,which can locate the tamper position effectively and restore the tamper appropriately.Experiment results show that the watermarking algorithm has excellent visual quality and robustness.Compared with multifunctional dual watermarking algorithms,the peak signal to noise ratio is improved about 12.8%.For most geometric and signal attacks,the proposed algorithm shows great anti-attack capability comparing with the adaptive video algorithm.Comparing with the traditional transform domain fragile watermarking algorithm,this algorithm applies the fragile watermark to video data,it can enhance the security of the video data.

Key words: strong robustness, Compressive Sensing(CS), tamper orientation, robust watermarking, fragile watermarking

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