CIOMP OpenIR
Mutual structure ghost imaging under low sampling
H. Y. Huang; H. Yang; C. Zhou and L. J. Song
2023
发表期刊Optics and Lasers in Engineering
ISSN0143-8166
卷号161页码:6
摘要The 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
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收录类别sci
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/66890
专题中国科学院长春光学精密机械与物理研究所
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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.
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