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Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing
The division of focal plane (DoFP) polarization imaging sensors, which can simultaneously acquire the target’s two-dimensional spatial information and polarization information, improves the detection resolution and recognition capability by capturing the difference in polarization characteristics be...
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/PMC9783235/ https://www.ncbi.nlm.nih.gov/pubmed/36560044 http://dx.doi.org/10.3390/s22249676 |
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author | Xu, Miao Wang, Chao Wang, Kaikai Shi, Haodong Li, Yingchao Jiang, Huilin |
author_facet | Xu, Miao Wang, Chao Wang, Kaikai Shi, Haodong Li, Yingchao Jiang, Huilin |
author_sort | Xu, Miao |
collection | PubMed |
description | The division of focal plane (DoFP) polarization imaging sensors, which can simultaneously acquire the target’s two-dimensional spatial information and polarization information, improves the detection resolution and recognition capability by capturing the difference in polarization characteristics between the target and the background. In this paper, we propose a novel polarization imaging method based on deep compressed sensing (DCS) by adding digital micromirror devices (DMD) to an optical system and simulating the polarization transmission model of the optical system to reconstruct high-resolution images under low sampling rate conditions. By building a simulated dataset, training a polarization super-resolution imaging network, and showing excellent reconstructions on real shooting scenes, compared to current algorithms, our model has a higher peak signal-to-noise ratio (PSNR), which validates the feasibility of our approach. |
format | Online Article Text |
id | pubmed-9783235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97832352022-12-24 Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing Xu, Miao Wang, Chao Wang, Kaikai Shi, Haodong Li, Yingchao Jiang, Huilin Sensors (Basel) Article The division of focal plane (DoFP) polarization imaging sensors, which can simultaneously acquire the target’s two-dimensional spatial information and polarization information, improves the detection resolution and recognition capability by capturing the difference in polarization characteristics between the target and the background. In this paper, we propose a novel polarization imaging method based on deep compressed sensing (DCS) by adding digital micromirror devices (DMD) to an optical system and simulating the polarization transmission model of the optical system to reconstruct high-resolution images under low sampling rate conditions. By building a simulated dataset, training a polarization super-resolution imaging network, and showing excellent reconstructions on real shooting scenes, compared to current algorithms, our model has a higher peak signal-to-noise ratio (PSNR), which validates the feasibility of our approach. MDPI 2022-12-10 /pmc/articles/PMC9783235/ /pubmed/36560044 http://dx.doi.org/10.3390/s22249676 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 Xu, Miao Wang, Chao Wang, Kaikai Shi, Haodong Li, Yingchao Jiang, Huilin Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title | Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title_full | Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title_fullStr | Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title_full_unstemmed | Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title_short | Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing |
title_sort | polarization super-resolution imaging method based on deep compressed sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783235/ https://www.ncbi.nlm.nih.gov/pubmed/36560044 http://dx.doi.org/10.3390/s22249676 |
work_keys_str_mv | AT xumiao polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing AT wangchao polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing AT wangkaikai polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing AT shihaodong polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing AT liyingchao polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing AT jianghuilin polarizationsuperresolutionimagingmethodbasedondeepcompressedsensing |