灰度可视秘密共享方案分析与设计  

Analysis and design of visual secret sharing scheme for gray image

作　　者：刘健 张益 刘玉岭 胡浩[4] LIU Jian;ZHANG Yi;LIU Yuling;HU Hao(Information Technology&Security Test and Evaluation Center,Beijing 100083,China;The 15th Research Institute of China Electronics Technology Group Corporation,Beijing 100083,China;Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100190,China;Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息产业信息安全测评中心,北京100083 [2]中国电子科技集团公司第十五研究所,北京100083 [3]中国科学院信息工程研究所,北京100190 [4]信息工程大学,河南郑州450001

出　　处：《网络与信息安全学报》2020年第4期140-147,共8页Chinese Journal of Network and Information Security

基　　金：国家重点研发计划基金(2016YFF0204003)。

摘　　要：针对现有灰度可视秘密共享(GVSS,gray visual secret sharing)将原始图像转化为黑白二值图像进行处理时产生像素信息损失的问题,提出了一种基于灰度叠加的GVSS,对于每一个灰度级像素,分别设计相应的加密矩阵,生成灰度共享份图像,在此基础上设计了(2,2)、(2,n)、(n,n)方案。与现有方案相比,所提方案有效降低了像素扩展度并实现了灰度密图的无损恢复。Existing gray visual secret sharing(GVSS)convert the original image into black-white binary image for processing,which causes the pixel information loss problem.For this purpose,a kind of GVSS based on gray superposition was proposed.For each gray-scale pixel,the corresponding encoding matrix was designed to generate gray share image.On this basis,the schemes for(2,2),(2,n),(n,n)threshold structures were designed.Compared with the existing schemes,the proposed scheme effectively reduces pixel expansion and achieves the perfect reconstruction of gray secret images.

关 键 词：可视秘密共享 灰度图像 灰度叠加 无损解密 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]