Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling

doi:10.3390/s20113116

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	Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling
	D. Wang,T. J. Fu,G. L. Bi,L. X. Jin and X. X. Zhang
	2020
发表期刊	Sensors
卷号	20 期号:11 页码:13
摘要	How to perform imaging beyond the diffraction limit has always been an essential subject for the research of optical systems. One effective way to achieve this purpose is Fourier ptychography, which has been widely used in microscopic imaging. However, microscopic imaging measurement technology cannot be directly extended to imaging macro objects at long distances. In this paper, a reconstruction algorithm is proposed to solve the need for oversampling low-resolution images, and it is successfully applied to macroscopic imaging. Compared with the traditional FP technology, the proposed sub-sampling method can significantly reduce the number of iterations in reconstruction. Experiments prove that the proposed method can reconstruct low-resolution images captured by the camera and achieve high-resolution imaging of long-range macroscopic objects.
DOI	10.3390/s20113116
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收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64658
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	D. Wang,T. J. Fu,G. L. Bi,L. X. Jin and X. X. Zhang. Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling[J]. Sensors,2020,20(11):13.
APA	D. Wang,T. J. Fu,G. L. Bi,L. X. Jin and X. X. Zhang.(2020).Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling.Sensors,20(11),13.
MLA	D. Wang,T. J. Fu,G. L. Bi,L. X. Jin and X. X. Zhang."Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling".Sensors 20.11(2020):13.

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