Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging
Three-dimensional (3D) polarimetric integral imaging (InIm) to extract the 3D polarimetric information of objects in photon-starved conditions is investigated using a low noise visible range camera and a long wave infrared (LWIR) range camera, and the performance between the two sensors is compared....
| Autores: | , , , , , , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2020 |
| País: | España |
| Recursos: | Universidad de Barcelona |
| Repositório: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/173393 |
| Acesso em linha: | https://hdl.handle.net/2445/173393 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Visualització tridimensional Polarització (Llum) Fotografia infraroja Three-dimensional display systems Polarization (Light) Infrared photography |
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Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imagingUsmani KashifO'Connor, TimothyShen, XinMarasco, PeteCarnicer González, ArturoDey, DipakJavidi, BahramVisualització tridimensionalPolarització (Llum)Fotografia infrarojaThree-dimensional display systemsPolarization (Light)Infrared photographyThree-dimensional (3D) polarimetric integral imaging (InIm) to extract the 3D polarimetric information of objects in photon-starved conditions is investigated using a low noise visible range camera and a long wave infrared (LWIR) range camera, and the performance between the two sensors is compared. Stokes polarization parameters and degree of polarization (DoP) are calculated to extract the polarimetric information of the 3D scene while integral imaging reconstruction provides depth information and improves the performance of low-light imaging tasks. An LWIR wire grid polarizer and a linear polarizer film are used as polarimetric objects for the LWIR range and visible range cameras, respectively. To account for a limited number of photons per pixel using the visible range camera in low light conditions, we apply a mathematical restoration model at each elemental image of visible camera to enhance the signal. We show that the low noise visible range camera may outperform the LWIR camera in detection of polarimetric objects under low illumination conditions. Our experiments indicate that for 3D polarimetric measurements under photon-starved conditions, visible range sensing may produce a signal-to-noise ratio (SNR) that is not lower than the LWIR range sensing. We derive the probability density function (PDF) of the 2D and 3D degree of polarization (DoP) images and show that the theoretical model demonstrates agreement to that of the experimentally obtained results. To the best of our knowledge, this is the first report comparing the polarimetric imaging performance between visible range and infrared (IR) range sensors under photon-starved conditions and the relevant statistical models of 3D polarimetric integral imaging.Optical Society of America2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/173393Articles publicats en revistes (Física Aplicada)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1364/OE.395301Optics Express, 2020, vol. 28, num. 13, p. 19281-19294https://doi.org/10.1364/OE.395301(c) Optical Society of America, 2020info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1733932026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| title |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| spellingShingle |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging Usmani Kashif Visualització tridimensional Polarització (Llum) Fotografia infraroja Three-dimensional display systems Polarization (Light) Infrared photography |
| title_short |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| title_full |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| title_fullStr |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| title_full_unstemmed |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| title_sort |
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging |
| dc.creator.none.fl_str_mv |
Usmani Kashif O'Connor, Timothy Shen, Xin Marasco, Pete Carnicer González, Arturo Dey, Dipak Javidi, Bahram |
| author |
Usmani Kashif |
| author_facet |
Usmani Kashif O'Connor, Timothy Shen, Xin Marasco, Pete Carnicer González, Arturo Dey, Dipak Javidi, Bahram |
| author_role |
author |
| author2 |
O'Connor, Timothy Shen, Xin Marasco, Pete Carnicer González, Arturo Dey, Dipak Javidi, Bahram |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Visualització tridimensional Polarització (Llum) Fotografia infraroja Three-dimensional display systems Polarization (Light) Infrared photography |
| topic |
Visualització tridimensional Polarització (Llum) Fotografia infraroja Three-dimensional display systems Polarization (Light) Infrared photography |
| description |
Three-dimensional (3D) polarimetric integral imaging (InIm) to extract the 3D polarimetric information of objects in photon-starved conditions is investigated using a low noise visible range camera and a long wave infrared (LWIR) range camera, and the performance between the two sensors is compared. Stokes polarization parameters and degree of polarization (DoP) are calculated to extract the polarimetric information of the 3D scene while integral imaging reconstruction provides depth information and improves the performance of low-light imaging tasks. An LWIR wire grid polarizer and a linear polarizer film are used as polarimetric objects for the LWIR range and visible range cameras, respectively. To account for a limited number of photons per pixel using the visible range camera in low light conditions, we apply a mathematical restoration model at each elemental image of visible camera to enhance the signal. We show that the low noise visible range camera may outperform the LWIR camera in detection of polarimetric objects under low illumination conditions. Our experiments indicate that for 3D polarimetric measurements under photon-starved conditions, visible range sensing may produce a signal-to-noise ratio (SNR) that is not lower than the LWIR range sensing. We derive the probability density function (PDF) of the 2D and 3D degree of polarization (DoP) images and show that the theoretical model demonstrates agreement to that of the experimentally obtained results. To the best of our knowledge, this is the first report comparing the polarimetric imaging performance between visible range and infrared (IR) range sensors under photon-starved conditions and the relevant statistical models of 3D polarimetric integral imaging. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/173393 |
| url |
https://hdl.handle.net/2445/173393 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Reproducció del document publicat a: https://doi.org/10.1364/OE.395301 Optics Express, 2020, vol. 28, num. 13, p. 19281-19294 https://doi.org/10.1364/OE.395301 |
| dc.rights.none.fl_str_mv |
(c) Optical Society of America, 2020 info:eu-repo/semantics/openAccess |
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(c) Optical Society of America, 2020 |
| eu_rights_str_mv |
openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Optical Society of America |
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Optical Society of America |
| dc.source.none.fl_str_mv |
Articles publicats en revistes (Física Aplicada) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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Dipòsit Digital de la UB |
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Dipòsit Digital de la UB |
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