基于二值化计算鬼成像的图像隐藏方法  

Image Hiding Method Based on Binary Calculation of Ghost Imaging

作　　者：杨忠卓 白星 余展 王玉杰 陈星宇 周昕(导师)[1] YANG Zhong-zhuo;BAI Xing;YU Zhan;WANG Yu-jie;CHEN Xing-yu;ZHOU Xin(School of Electronic Information,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电子信息学院,四川成都610065

出　　处：《光学与光电技术》2022年第1期77-82,共6页Optics & Optoelectronic Technology

基　　金：国家自然科学基金(61475104、61177009)资助项目。

摘　　要：图像隐藏技术在当今大数据时代扮演着重要角色,尤其在版权保护和保密通信等领域中有着巨大的应用价值。提出了一种基于计算鬼成像的图像隐藏方法,目标图像经过计算鬼成像系统加密,随机散斑作为系统密钥,将密文进行二值化后的结果采用最低有效位算法嵌入到宿主图像中,利用相应的水印提取规则和二阶相关算法恢复目标图像。仿真结果表明,该方法具有较好的隐蔽性,嵌入水印图像的峰值信噪比可以达到50 dB,授权用户可以用密钥获得目标图像,同时,所提方案有一定的容错能力,对椒盐噪声和图像裁剪具有一定的鲁棒性。Image hiding technology plays an important role in the era of big data,especially in the fields of copyright protection and confidential communication.An image hiding method based on computational ghost imaging is proposed in this paper.The target image is encrypted by the computational ghost imaging system,random speckle is used as the system key,and the result of the binary ciphertext is embedded into the host image using the least significant bit algorithm.The corresponding watermark extraction rules and the second-order correlation algorithm are used to restore the target image.The simulation results show that the method has good concealment.The peak signal-to-noise ratio of the embedded watermark image can reach 50 dB.The authorized user can use the key to obtain the target image.At the same time,the proposed scheme has a certain fault tolerance.Image cropping is robust.

关 键 词：计算鬼成像 图像隐藏 图像重建 最低有效位 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]