一种基于视觉特性的图像哈希认证方案  

Hash scheme based on human visual system for image authentication

作　　者：龚素灵[1] 康志伟[1] 韩佳[1] 

机构地区：[1]湖南大学计算机与通信学院,长沙410082

出　　处：《计算机应用研究》2010年第8期3061-3063,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60702065);湖南省自然科学基金资助项目(06JJ50114);湘潭市科技计划重点项目(ZJ20071008)

摘　　要：为了使图像哈希具有更好的鲁棒性和安全性,在脊波域中提出了一种新的基于视觉特性的图像哈希方法。该方法首先将原始图像预处理,然后利用人类视觉特性提取脊波变换域上的系数,最后量化并压缩生成最终哈希值。实验结果表明,该方法能够抵抗JPEG压缩、滤波、加噪声、裁剪和旋转等攻击,且能够区分恶意窜改。生成的哈希值具有很好的鲁棒性和安全性。To obtain more robust and secure image hash value,this paper proposed a novel image hashing scheme based on human visual system in the ridgelet transform. Firstly it preprocessed the original image,then extracted coefficients after ridgelet transform based on human visual system ,finally quantified and compressed them to generate the final hash value. The experimental results demonstrate that the scheme has a good performance against JPEG compression,filtering,adding noise, cropping and rotation. It can also distinguish malicious tampering. The hash has good robustness and security.

关 键 词：图像哈希 脊波变换 人类视觉特性 图像认证 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]