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Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling
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 cann...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309043/ https://www.ncbi.nlm.nih.gov/pubmed/32486498 http://dx.doi.org/10.3390/s20113116 |
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author | Wang, Duo Fu, Tianjiao Bi, Guoling Jin, Longxu Zhang, Xingxiang |
author_facet | Wang, Duo Fu, Tianjiao Bi, Guoling Jin, Longxu Zhang, Xingxiang |
author_sort | Wang, Duo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7309043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73090432020-06-25 Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling Wang, Duo Fu, Tianjiao Bi, Guoling Jin, Longxu Zhang, Xingxiang Sensors (Basel) Article 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. MDPI 2020-05-31 /pmc/articles/PMC7309043/ /pubmed/32486498 http://dx.doi.org/10.3390/s20113116 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Duo Fu, Tianjiao Bi, Guoling Jin, Longxu Zhang, Xingxiang Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title | Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title_full | Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title_fullStr | Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title_full_unstemmed | Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title_short | Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling |
title_sort | long-distance sub-diffraction high-resolution imaging using sparse sampling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309043/ https://www.ncbi.nlm.nih.gov/pubmed/32486498 http://dx.doi.org/10.3390/s20113116 |
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