基于超混沌和Gyrator域相位信息复用的光学多图像认证方法  

Optical Multiple-Image Authentication Method Based on Hyper-Chaos and Phase Information Multiplexing in Gyrator Transform Domain

作　　者：刘禹佳 张宁[1] 张福琦 徐熙平[1] 姜肇国 Liu Yujia;Zhang Ning;Zhang Fuqi;Xu Xiping;Jiang Zhaoguo(College of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun,Jilin 130022,China;Network Optimization Center,China Mobile Communications Group Jilin Co.,Ltd.,Changchun,Jilin 130000,China)

机构地区：[1]长春理工大学光电工程学院,吉林长春130022 [2]中国移动通信集团吉林有限公司网络优化中心,吉林长春130000

出　　处：《光学学报》2020年第5期86-96,共11页Acta Optica Sinica

基　　金：国家自然科学基金(61803045,61605016);吉林省科技发展计划(20170204048GX)。

摘　　要：针对光学多图像认证方法中,多路复用图像中的串扰噪声,以及不同认证级别下的信息安全问题,提出了一种基于超混沌振幅型掩模和Gyrator变换域下相位信息复用的光学多图像认证方法。利用分数阶超混沌Rabinovich系统构造超混沌随机振幅掩模;基于改进的Gerchberg-Saxton算法对原始图像进行低级或高级编码,利用超混沌掩模作为振幅约束,迭代获得目标图像,并将得到的N个目标图像编码成复合图像;再次通过Gerchberg-Saxton迭代将复合图像转化为两个便于传输的纯相位掩模。实验结果表明:在认证过程中,不同安全级别的用户拥有各自的认证密钥,低级认证过程中可以通过检索图像与原始图像的非线性相关峰值,判断认证图像的正确性,而高级认证过程中则可以获得与原始图像相似度较高的认证图像,峰值信噪比和相关系数分别可达25.2817 dB和0.9844。所提方法对遮挡攻击和噪声攻击具有良好的稳健性,为多幅图像在不同级别下的光学认证提供了新的思路。This study proposes an optical multiimage authentication method for attenuating crosstalk noise in multiplexed images and addressing information security problems at different authentication levels based on hyper-chaotic amplitude masks and phase information multiplexing in the Gyrator transform domain. According to the proposed method, hyper-chaotic random amplitude masks are constructed first using a fractional hyper-chaotic Rabinovich system. Then, original images are encoded using a modified Gerchberg-Saxton algorithm for low-and high-level authentication. The hyper-chaotic masks are used as the amplitude constraint to iteratively obtain target images. The obtained N target images are then encoded into a composite image. Finally, the composite image is converted into two phase-only masks for transmission using the modified Gerchberg-Saxton algorithm. Results demonstrate that users can have their own authentication keys in the process of authentication at different security levels. In low-level authentication, the correctness of the authentication image can be determined by retrieving the nonlinear correlation peak between the authentication and original images. In high-level authentication, the authentication image can be obtained to be highly similar to the original image with the peak signal-to-noise ratio and correlation coefficient reaching 25.2817 dB and 0.9844, respectively. The proposed method is robust against occlusion and noise attacks and provides a new idea for optical authentication of multiple images at different levels.

关 键 词：图像处理 光学安全及加密 光学图像认证 超混沌 Gyrator变换 相位信息复用 

分 类 号：O438[机械工程—光学工程] TN911.74[理学—光学]