基于图像融合的优化重构计算鬼成像  

Optimized Reconstruction of Computational Ghost Imaging Based on Image Fusion

作　　者：邓超 高超 王晓茜[1] 姚治海[1] Deng Chao;Gao Chao;Wang Xiaoqian;Yao Zhihai(College of Science,Changchun University Science and Technology,Changchun 130022,Jilin,China)

机构地区：[1]长春理工大学物理学院,吉林长春130022

出　　处：《激光与光电子学进展》2023年第20期71-78,共8页Laser & Optoelectronics Progress

基　　金：吉林省自然科学基金(YDZJ202101ZYTS030)。

摘　　要：针对计算鬼成像采样过程中由于外界影响而出现的物体信息缺失问题,将小波分析应用于计算鬼成像系统中,同时在此系统中引入图像融合方法,构建一种基于图像融合的计算鬼成像系统,对此问题进行了仿真模拟与实验研究。并对结果进行了分析,结果显示此系统可以有效恢复待测物体信息、提高成像质量,相较于传统的计算鬼成像系统更加适用于实际应用环境。In order to solve the problem of missing object information due to external influence in the sampling process of computational ghost imaging,wavelet analysis is applied to the computational ghost imaging system,and image fusion method is introduced into this system to build a computational ghost imaging system based on image fusion.Simulation and experimental research are carried out on this problem.The results show that this system can effectively recover the information of the object to be measured and improve the imaging quality,which is more suitable for the actual application environment than the traditional computational ghost imaging system.

关 键 词：鬼成像 小波分析 信息恢复 图像融合 成像系统 

分 类 号：O482.31[理学—固体物理]