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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...

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Detalles Bibliográficos
Autores principales: Cho, Myungjin, Javidi, Bahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
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.
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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
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