Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yingqiang, Cao, Jie, Cui, Huan, Zhou, Dong, Han, Bin, Hao, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784724742844973056
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
work_keys_str_mv AT zhangyingqiang retinalikecomputationalghostimagingforanaxiallymovingtarget
AT caojie retinalikecomputationalghostimagingforanaxiallymovingtarget
AT cuihuan retinalikecomputationalghostimagingforanaxiallymovingtarget
AT zhoudong retinalikecomputationalghostimagingforanaxiallymovingtarget
AT hanbin retinalikecomputationalghostimagingforanaxiallymovingtarget
AT haoqun retinalikecomputationalghostimagingforanaxiallymovingtarget