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
刊名	Sensors
	2020
卷号	20 期号:11 页码:13
DOI	10.3390/s20113116
英文摘要	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.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[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.