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Retina-like Computational Ghost Imaging for an Axially Moving Target
Unlike traditional optical imaging schemes, computational ghost imaging (CGI) provides a way to reconstruct images with the spatial distribution information of illumination patterns and the light intensity collected by a single-pixel detector or bucket detector. Compared with stationary scenes, the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185527/ https://www.ncbi.nlm.nih.gov/pubmed/35684911 http://dx.doi.org/10.3390/s22114290 |
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author | Zhang, Yingqiang Cao, Jie Cui, Huan Zhou, Dong Han, Bin Hao, Qun |
author_facet | Zhang, Yingqiang Cao, Jie Cui, Huan Zhou, Dong Han, Bin Hao, Qun |
author_sort | Zhang, Yingqiang |
collection | PubMed |
description | Unlike traditional optical imaging schemes, computational ghost imaging (CGI) provides a way to reconstruct images with the spatial distribution information of illumination patterns and the light intensity collected by a single-pixel detector or bucket detector. Compared with stationary scenes, the relative motion between the target and the imaging system in a dynamic scene causes the degradation of reconstructed images. Therefore, we propose a time-variant retina-like computational ghost imaging method for axially moving targets. The illuminated patterns are specially designed with retina-like structures, and the radii of foveal region can be modified according to the axial movement of target. By using the time-variant retina-like patterns and compressive sensing algorithms, high-quality imaging results are obtained. Experimental verification has shown its effectiveness in improving the reconstruction quality of axially moving targets. The proposed method retains the inherent merits of CGI and provides a useful reference for high-quality GI reconstruction of a moving target. |
format | Online Article Text |
id | pubmed-9185527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91855272022-06-11 Retina-like Computational Ghost Imaging for an Axially Moving Target Zhang, Yingqiang Cao, Jie Cui, Huan Zhou, Dong Han, Bin Hao, Qun Sensors (Basel) Article Unlike traditional optical imaging schemes, computational ghost imaging (CGI) provides a way to reconstruct images with the spatial distribution information of illumination patterns and the light intensity collected by a single-pixel detector or bucket detector. Compared with stationary scenes, the relative motion between the target and the imaging system in a dynamic scene causes the degradation of reconstructed images. Therefore, we propose a time-variant retina-like computational ghost imaging method for axially moving targets. The illuminated patterns are specially designed with retina-like structures, and the radii of foveal region can be modified according to the axial movement of target. By using the time-variant retina-like patterns and compressive sensing algorithms, high-quality imaging results are obtained. Experimental verification has shown its effectiveness in improving the reconstruction quality of axially moving targets. The proposed method retains the inherent merits of CGI and provides a useful reference for high-quality GI reconstruction of a moving target. MDPI 2022-06-05 /pmc/articles/PMC9185527/ /pubmed/35684911 http://dx.doi.org/10.3390/s22114290 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Yingqiang Cao, Jie Cui, Huan Zhou, Dong Han, Bin Hao, Qun Retina-like Computational Ghost Imaging for an Axially Moving Target |
title | Retina-like Computational Ghost Imaging for an Axially Moving Target |
title_full | Retina-like Computational Ghost Imaging for an Axially Moving Target |
title_fullStr | Retina-like Computational Ghost Imaging for an Axially Moving Target |
title_full_unstemmed | Retina-like Computational Ghost Imaging for an Axially Moving Target |
title_short | Retina-like Computational Ghost Imaging for an Axially Moving Target |
title_sort | retina-like computational ghost imaging for an axially moving target |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185527/ https://www.ncbi.nlm.nih.gov/pubmed/35684911 http://dx.doi.org/10.3390/s22114290 |
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