Cargando…
Experimental Study of Ghost Imaging in Underwater Environment
Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment. The GI methods are divided into two types according to the illumination pa...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695741/ https://www.ncbi.nlm.nih.gov/pubmed/36433544 http://dx.doi.org/10.3390/s22228951 |
_version_ | 1784838138682671104 |
---|---|
author | Wu, Heng Chen, Ziyan He, Chunhua Cheng, Lianglun Luo, Shaojuan |
author_facet | Wu, Heng Chen, Ziyan He, Chunhua Cheng, Lianglun Luo, Shaojuan |
author_sort | Wu, Heng |
collection | PubMed |
description | Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment. The GI methods are divided into two types according to the illumination patterns, the random and orthogonal patterns. Three-group simulations were designed to show the imaging performance of the twenty-four GI methods. Moreover, an experimental system was built, and three-group experiments were implemented. The numerical and experimental results demonstrate that the orthogonal pattern-based compressed sensing GI methods have strong antinoise capability and can restore clear images for underwater objects with a low measurement number. The investigation results are helpful for the practical applications of the underwater GI. |
format | Online Article Text |
id | pubmed-9695741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96957412022-11-26 Experimental Study of Ghost Imaging in Underwater Environment Wu, Heng Chen, Ziyan He, Chunhua Cheng, Lianglun Luo, Shaojuan Sensors (Basel) Article Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment. The GI methods are divided into two types according to the illumination patterns, the random and orthogonal patterns. Three-group simulations were designed to show the imaging performance of the twenty-four GI methods. Moreover, an experimental system was built, and three-group experiments were implemented. The numerical and experimental results demonstrate that the orthogonal pattern-based compressed sensing GI methods have strong antinoise capability and can restore clear images for underwater objects with a low measurement number. The investigation results are helpful for the practical applications of the underwater GI. MDPI 2022-11-18 /pmc/articles/PMC9695741/ /pubmed/36433544 http://dx.doi.org/10.3390/s22228951 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 Wu, Heng Chen, Ziyan He, Chunhua Cheng, Lianglun Luo, Shaojuan Experimental Study of Ghost Imaging in Underwater Environment |
title | Experimental Study of Ghost Imaging in Underwater Environment |
title_full | Experimental Study of Ghost Imaging in Underwater Environment |
title_fullStr | Experimental Study of Ghost Imaging in Underwater Environment |
title_full_unstemmed | Experimental Study of Ghost Imaging in Underwater Environment |
title_short | Experimental Study of Ghost Imaging in Underwater Environment |
title_sort | experimental study of ghost imaging in underwater environment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695741/ https://www.ncbi.nlm.nih.gov/pubmed/36433544 http://dx.doi.org/10.3390/s22228951 |
work_keys_str_mv | AT wuheng experimentalstudyofghostimaginginunderwaterenvironment AT chenziyan experimentalstudyofghostimaginginunderwaterenvironment AT hechunhua experimentalstudyofghostimaginginunderwaterenvironment AT chenglianglun experimentalstudyofghostimaginginunderwaterenvironment AT luoshaojuan experimentalstudyofghostimaginginunderwaterenvironment |