秘密共享机制的光通信图像加密方案设计  被引量:1

Design of encryption scheme for optical communication image based on secret sharing mechanism

在线阅读下载全文

作  者:黄振华 尹益燕 HUANG Zhenhua;YIN Yiyan(Hebei engineering and Technology Institute,Shijiazhuang 050091,China)

机构地区:[1]河北工程技术学院,石家庄050091

出  处:《激光杂志》2022年第9期169-173,共5页Laser Journal

基  金:河北省教育厅科研项目(No.Z2020229)。

摘  要:图像包含量许多重要信息,针对当前图像在光通信传输中易被攻击、安全性差等难题,为了保证光通信图像传输的安全性,提出一种秘密共享机制的光通信图像加密方案。首先采集加密的光通信图像,采用Arnold变换算法进行光通信图像置乱操作,改变每一个像素位置,然后采用小波变换对光通信图像进行多层分解,并根据分解后小波系数数量设置加密门限值,最后根据门限值对光通信图像的分量进行加密,通过小波变换的重构输出加密后的光通信图像,并与其他光通信图像方案进行了具体对比测试,结果表明,本方案加密后的光通信图像视觉效果很好,而且可以很好地恢复出原始光通信图像,恢复后的光通信图像信噪比较高,加密后的光通信图像归一化相关系数超过0.99。Image packets contain a lot of important information.In order to ensure the security of optical fiber communication image,an optical communication image encryption scheme based on secret sharing mechanism is proposed.Firstly,the equal encrypted optical communication image is used,and the Arnold transform algorithm is used to scramble the optical communication image to change the position of each pixel.Then,the small transform is used to decompose the optical communication image,and the encryption threshold value is set according to the number of decomposed wavelet coefficients.Finally,the components of the optical communication image are encrypted according to the threshold value,The encrypted optical communication image is output through the reconstruction of wavelet transform,and compared with other optical communication image schemes.The results show that the visual effect of the encrypted optical communication image is very good,and the original optical communication image can be recovered well,and the signal-to-noise ratio of the restored optical communication image is high,After encryption,the normalized correlation coefficient of optical communication image exceeds 0.99.

关 键 词:光纤通信 图像加密方案 秘密共享机制 置乱算法 

分 类 号:TN188[电子电信—物理电子学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象