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Adaptive High-Resolution Imaging Method Based on Compressive Sensing

Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-...

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Detalles Bibliográficos
Autores principales: Wang, Zijiao, Gao, Yufeng, Duan, Xiusheng, Cao, Jingya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697710/
https://www.ncbi.nlm.nih.gov/pubmed/36433444
http://dx.doi.org/10.3390/s22228848
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author Wang, Zijiao
Gao, Yufeng
Duan, Xiusheng
Cao, Jingya
author_facet Wang, Zijiao
Gao, Yufeng
Duan, Xiusheng
Cao, Jingya
author_sort Wang, Zijiao
collection PubMed
description Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-detection imaging system is established for high-pixel detection. Each detector of the detector array is coupled with a bundle of fibers formed by fusion of four bundles of fibers of different lengths, so that the target area corresponding to one detector is split into four groups of target information arriving at different times. By comparing the total amount of information received by the detector with the threshold set in advance, it can be determined whether the four groups of information are calculated separately. The simulation results show that this new system can not only reduce the number of measurements required to reconstruct high quality images but can also handle situations wherever the target may appear in the field of view without necessitating an increase in the number of detectors.
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spelling pubmed-96977102022-11-26 Adaptive High-Resolution Imaging Method Based on Compressive Sensing Wang, Zijiao Gao, Yufeng Duan, Xiusheng Cao, Jingya Sensors (Basel) Communication Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-detection imaging system is established for high-pixel detection. Each detector of the detector array is coupled with a bundle of fibers formed by fusion of four bundles of fibers of different lengths, so that the target area corresponding to one detector is split into four groups of target information arriving at different times. By comparing the total amount of information received by the detector with the threshold set in advance, it can be determined whether the four groups of information are calculated separately. The simulation results show that this new system can not only reduce the number of measurements required to reconstruct high quality images but can also handle situations wherever the target may appear in the field of view without necessitating an increase in the number of detectors. MDPI 2022-11-16 /pmc/articles/PMC9697710/ /pubmed/36433444 http://dx.doi.org/10.3390/s22228848 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 Communication
Wang, Zijiao
Gao, Yufeng
Duan, Xiusheng
Cao, Jingya
Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title_full Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title_fullStr Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title_full_unstemmed Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title_short Adaptive High-Resolution Imaging Method Based on Compressive Sensing
title_sort adaptive high-resolution imaging method based on compressive sensing
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697710/
https://www.ncbi.nlm.nih.gov/pubmed/36433444
http://dx.doi.org/10.3390/s22228848
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AT gaoyufeng adaptivehighresolutionimagingmethodbasedoncompressivesensing
AT duanxiusheng adaptivehighresolutionimagingmethodbasedoncompressivesensing
AT caojingya adaptivehighresolutionimagingmethodbasedoncompressivesensing