一种使用压缩感知的数字水印技术  

Watermarking Scheme Using Compressive Sensing

作　　者：陈国明[1] 陈强[1] 陈忆群[1] 

机构地区：[1]广东第二师范学院计算机科学系,广州510303

出　　处：《小型微型计算机系统》2014年第6期1363-1367,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61370186;61100170)资助;教育部-中国移动科研基金项目(MCM20121051)资助;广州市科技计划应用基础研究项目(2013J4100009)资助;广东省普通高校科技创新项目(2012KJCX0079)资助

摘　　要：数字水印是将标识信息嵌入在信号载体里从而进行版权认证与保护.提出一种基于压缩感知和奇异值分解的半盲数字水印技术,使用水印图像的压缩测量观测值矩阵的奇异值替换载体图像的离散小波变换域的HH频带的奇异值.针对传统基于奇异值分解和离散小波变换的水印模式较难解决安全认证的问题,本文采用混沌系统调制生成满足RIP条件的测量感知矩阵进行安全认证,在保证鲁棒性同时也能够提高安全性.本文还采用Bregman迭代的图像去噪方法来改善视觉感知质量.仿真结果表明基于压缩感知的数字水印技术是有效的.A digital watermark is a marker embedded in a signal for the ownership identification of the copyright. In this paper, we propose a half blind digital watermark method based on compressive sensing （ CS ） and singular value decomposition （ SVD ） , the proposed method replaces the singular values of the HI-/band of the cover image in discrete wavelet transform domain with the singular values of the compressive watermark. To guarantee secure recovery from compressed watermarking measurements, specific chaotic matrix can act as an authentication mechanism, which satisfies the Restricted Isometry Property {RIP）, for implement action of the sensing procedure. With this special authorized matrix, the watermarking signal can be correctly reconstructed. The proposed method also uses Bregman Iteration to improve the perceptual quality for their successful use of denoising of images before. Simulation results verify the effectiveness of the proposed approach and the performance is considerable.

关 键 词：压缩感知 混沌 Bregman迭代 水印 奇异值分解 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]