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Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing
In this paper, we review three-dimensional (3D) photon counting imaging with axially distributed sensing. Under severely photon-starved conditions, we have proposed various imaging and algorithmic approaches to reconstruct a scene in 3D, which are not possible by using conventional imaging system du...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017350/ https://www.ncbi.nlm.nih.gov/pubmed/27483262 http://dx.doi.org/10.3390/s16081184 |
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author | Cho, Myungjin Javidi, Bahram |
author_facet | Cho, Myungjin Javidi, Bahram |
author_sort | Cho, Myungjin |
collection | PubMed |
description | In this paper, we review three-dimensional (3D) photon counting imaging with axially distributed sensing. Under severely photon-starved conditions, we have proposed various imaging and algorithmic approaches to reconstruct a scene in 3D, which are not possible by using conventional imaging system due to lack of sufficient number of photons. In this paper, we present an overview of optical sensing and imaging system along with dedicated algorithms for reconstructing 3D scenes by photon counting axially distributed sensing, which may be implemented by moving a single image sensor along its optical axis. To visualize the 3D image, statistical estimation methods and computational reconstruction of axially distributed sensing is applied. |
format | Online Article Text |
id | pubmed-5017350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50173502016-09-22 Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing Cho, Myungjin Javidi, Bahram Sensors (Basel) Review In this paper, we review three-dimensional (3D) photon counting imaging with axially distributed sensing. Under severely photon-starved conditions, we have proposed various imaging and algorithmic approaches to reconstruct a scene in 3D, which are not possible by using conventional imaging system due to lack of sufficient number of photons. In this paper, we present an overview of optical sensing and imaging system along with dedicated algorithms for reconstructing 3D scenes by photon counting axially distributed sensing, which may be implemented by moving a single image sensor along its optical axis. To visualize the 3D image, statistical estimation methods and computational reconstruction of axially distributed sensing is applied. MDPI 2016-07-28 /pmc/articles/PMC5017350/ /pubmed/27483262 http://dx.doi.org/10.3390/s16081184 Text en © 2016 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 | Review Cho, Myungjin Javidi, Bahram Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title | Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title_full | Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title_fullStr | Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title_full_unstemmed | Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title_short | Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing |
title_sort | three-dimensional photon counting imaging with axially distributed sensing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017350/ https://www.ncbi.nlm.nih.gov/pubmed/27483262 http://dx.doi.org/10.3390/s16081184 |
work_keys_str_mv | AT chomyungjin threedimensionalphotoncountingimagingwithaxiallydistributedsensing AT javidibahram threedimensionalphotoncountingimagingwithaxiallydistributedsensing |