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作 者:刘绪崇[1,2] 罗永[1,3] 王建新[1] 汪洁[1]
机构地区:[1]中南大学信息科学与工程学院,湖南长沙410083 [2]湖南省公安厅网络安全保卫与技术侦察总队,湖南长沙410001 [3]国防科技大学理学院,湖南长沙410073
出 处:《通信学报》2010年第12期123-130,共8页Journal on Communications
基 金:国家自然科学基金资助项目(60433020;60773111);国家重点基础研究发展计划("973"计划)基金资助项目(2008CB317107);新世纪优秀人才支持计划(NCET-05-0683);国家教育部创新团队资助项目(IRT0661)~~
摘 要:设计了一种基于第二代Bandelet变换和自适应统计模型的图像认证水印算法。提出了用Bandelet变换生成图像矢量方向流的算法,应用图像的矢量方向流来刻画图像特征,并构造了基于高斯分布统计模型的水印修改自适应噪声可见强度算法。通过噪声可见强度筛选出含纹理信息较多的图像分块隐藏图像矢量方向流。利用提取出的隐藏方向流信息和用Bandelet变换生成的方向流作相关性检测,实现对图像的认证。实验结果表明,该算法有很强的抗JPEG和噪声攻击能力,保证了水印图像的视觉质量和顽健性,实现了盲检测,隐蔽性和安全性较好。A watermarking algorithm for image authentication was designed,which was based on second generation Bandelet translation and statistical model.The image directional flow was constructed by using Bandelet,and it could depict the characteristic of the image.By applying noise visibility function,the noise visibility intensity algorithm which was based on Gaussian statistical models was proposed.The blocks of image which contain more texture information were selected to hide the image directional flow,based on the noise visibility intensity algorithm.The image was authen-ticated through comparing the hiding information and the carrier image directional flow created by Bandelet.Experimen-tal results show that the algorithm can resist the JPEG compression and noise attack strongly and guarantee the quality of the sight.It is a blind detection algorithm,and this algorithm has high concealment performance and security.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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