CIOMP OpenIR
Mutual structure ghost imaging under low sampling
H. Y. Huang; H. Yang; C. Zhou and L. J. Song
2023
Source PublicationOptics and Lasers in Engineering
ISSN0143-8166
Volume161Pages:6
AbstractThe realization of high-quality imaging under low sampling is an effective way to solve the practical application of ghost imaging. In this paper, we present an advanced framework of compressed ghost imaging under low sampling. During the imaging process, the regularization and mutual structure filtering operations are performed alternately, which we call mutual structure ghost imaging (MSGI). In the joint filtering of our proposed scheme, the mutual-structural information contained in both the reference image and the target one is applied to enhance the capability of important edge preserving. Thus, high-resolution ghost imaging results can be obtained under low sampling. Moreover, we have adopted a fast-converging iterative format to obtain better imaging results with fewer iterations. Simulation and experimental results show that the proposed method can achieve high-quality imaging results from the random speckle patterns under low sampling and promote the practical process of ghost imaging.
DOI10.1016/j.optlaseng.2022.107338
URL查看原文
Indexed Bysci
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/66890
Collection中国科学院长春光学精密机械与物理研究所
Recommended Citation
GB/T 7714
H. Y. Huang,H. Yang,C. Zhou and L. J. Song. Mutual structure ghost imaging under low sampling[J]. Optics and Lasers in Engineering,2023,161:6.
APA H. Y. Huang,H. Yang,&C. Zhou and L. J. Song.(2023).Mutual structure ghost imaging under low sampling.Optics and Lasers in Engineering,161,6.
MLA H. Y. Huang,et al."Mutual structure ghost imaging under low sampling".Optics and Lasers in Engineering 161(2023):6.
Files in This Item: Download All
File Name/Size DocType Version Access License
Mutual structure gho(1463KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[H. Y. Huang]'s Articles
[H. Yang]'s Articles
[C. Zhou and L. J. Song]'s Articles
Baidu academic
Similar articles in Baidu academic
[H. Y. Huang]'s Articles
[H. Yang]'s Articles
[C. Zhou and L. J. Song]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[H. Y. Huang]'s Articles
[H. Yang]'s Articles
[C. Zhou and L. J. Song]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Mutual structure ghost imaging under low sampling.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.