首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于压缩传感的图像哈希水印算法研究
引用本文:周燕,张德丰,马子龙.基于压缩传感的图像哈希水印算法研究[J].中山大学学报(自然科学版),2010,49(6).
作者姓名:周燕  张德丰  马子龙
作者单位:(1.佛山科学技术学院计算机系,广东 佛山 528000;2.哈尔滨工业大学电子工程系,黑龙江 哈尔滨 150001)
基金项目:广东省自然科学基金资助项目
摘    要:现有基于图像内容的水印算法在鲁棒性和篡改检测方面存在不足,提出了一种基于压缩传感的图像哈希水印算法。该算法利用压缩传感对图像进行随机投影,得到的压缩测量值作为图像内容特征,通过HMAC(Hash-based Message Authentication Code,基于哈希的消息认证码)算法生成图像摘要,并以水印的方式嵌入到原始图像中;认证时,提取图像中的水印,并对认证图像进行压缩传感随机投影,得到原始图像和认证图像的摘要,通过摘要对比,实现图像认证和篡改检测。仿真实验表明,该方法不仅具有较强的鲁棒性和安全性,还具有较好的篡改检测能力。

关 键 词:压缩传感  内容特征  HMAC算法  数字水印  图像认证
收稿时间:2010-03-24;

The Research of Image Hash Watermarking Algorithm Based on Compressed Sensing
ZHOU Yan,ZHANG Defeng,MA Zilong.The Research of Image Hash Watermarking Algorithm Based on Compressed Sensing[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2010,49(6).
Authors:ZHOU Yan  ZHANG Defeng  MA Zilong
Institution:(1. Department of Computer Science, Foshan University, Foshan 528000, China;2.Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)
Abstract:For the reason that the robustness and tamper detection for existing content based watermarking algorithms are poor, an image hash watermarking algorithm is proposed based on compressive sensing. It conducts random projection on image using compressive sensing, and gets compressive measurements which represent the content features of image. By the HMAC algorithm, the image digest is generated and embedded into the original image as watermark. When authentication, the watermark is extracted from the tampered image, and random projection on the tampered image is conducted. By comparing the image digests between original and tampered images, the image authentication and tamper detection are implemented. Experimental results show that the proposed algorithm not only has strong robustness and security, but also has good ability of tamper detection.
Keywords:compressive sensing  content feature  HMAC algorithm  digital watermark  image authentication
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《中山大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《中山大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号