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Complementary Fourier Single-Pixel Imaging

Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI...

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Autores principales: Zhou, Dong, Cao, Jie, Cui, Huan, Hao, Qun, Chen, Bing-kun, Lin, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512370/
https://www.ncbi.nlm.nih.gov/pubmed/34640871
http://dx.doi.org/10.3390/s21196544
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author Zhou, Dong
Cao, Jie
Cui, Huan
Hao, Qun
Chen, Bing-kun
Lin, Kai
author_facet Zhou, Dong
Cao, Jie
Cui, Huan
Hao, Qun
Chen, Bing-kun
Lin, Kai
author_sort Zhou, Dong
collection PubMed
description Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI has difficulty balancing imaging quality and efficiency. To overcome this issue, we proposed a novel approach called complementary Fourier single-pixel imaging (CFSI) to reduce the number of measurements while retaining its robustness. The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device. CFSI only requires two phase-shifted patterns to obtain one Fourier spectral value. Four light intensity values are obtained by loading the two patterns, and the spectral value is calculated through differential measurement, which has good robustness to noise. The proposed method is verified by simulations and experiments compared with FSI based on two-, three-, and four-step phase shift algorithms. CFSI performed better than the other methods under the condition that the best imaging quality of CFSI is not reached. The reported technique provides an alternative approach to realize real-time and high-quality imaging.
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spelling pubmed-85123702021-10-14 Complementary Fourier Single-Pixel Imaging Zhou, Dong Cao, Jie Cui, Huan Hao, Qun Chen, Bing-kun Lin, Kai Sensors (Basel) Article Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI has difficulty balancing imaging quality and efficiency. To overcome this issue, we proposed a novel approach called complementary Fourier single-pixel imaging (CFSI) to reduce the number of measurements while retaining its robustness. The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device. CFSI only requires two phase-shifted patterns to obtain one Fourier spectral value. Four light intensity values are obtained by loading the two patterns, and the spectral value is calculated through differential measurement, which has good robustness to noise. The proposed method is verified by simulations and experiments compared with FSI based on two-, three-, and four-step phase shift algorithms. CFSI performed better than the other methods under the condition that the best imaging quality of CFSI is not reached. The reported technique provides an alternative approach to realize real-time and high-quality imaging. MDPI 2021-09-30 /pmc/articles/PMC8512370/ /pubmed/34640871 http://dx.doi.org/10.3390/s21196544 Text en © 2021 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
Zhou, Dong
Cao, Jie
Cui, Huan
Hao, Qun
Chen, Bing-kun
Lin, Kai
Complementary Fourier Single-Pixel Imaging
title Complementary Fourier Single-Pixel Imaging
title_full Complementary Fourier Single-Pixel Imaging
title_fullStr Complementary Fourier Single-Pixel Imaging
title_full_unstemmed Complementary Fourier Single-Pixel Imaging
title_short Complementary Fourier Single-Pixel Imaging
title_sort complementary fourier single-pixel imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512370/
https://www.ncbi.nlm.nih.gov/pubmed/34640871
http://dx.doi.org/10.3390/s21196544
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