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Single-Pixel Imaging with Origami Pattern Construction

Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruct...

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Detalles Bibliográficos
Autores principales: Yu, Wen-Kai, Liu, Yi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929102/
https://www.ncbi.nlm.nih.gov/pubmed/31771175
http://dx.doi.org/10.3390/s19235135
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author Yu, Wen-Kai
Liu, Yi-Ming
author_facet Yu, Wen-Kai
Liu, Yi-Ming
author_sort Yu, Wen-Kai
collection PubMed
description Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruction. Here, we propose a single-pixel imaging method based on a deterministic origami pattern construction that can lead to a more accurate pattern ordering sequence and better imaging quality. It can decrease the sampling ratio, closer to the upper bounds. The experimental realization of this approach is a big step forward towards practical applications.
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spelling pubmed-69291022019-12-26 Single-Pixel Imaging with Origami Pattern Construction Yu, Wen-Kai Liu, Yi-Ming Sensors (Basel) Article Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruction. Here, we propose a single-pixel imaging method based on a deterministic origami pattern construction that can lead to a more accurate pattern ordering sequence and better imaging quality. It can decrease the sampling ratio, closer to the upper bounds. The experimental realization of this approach is a big step forward towards practical applications. MDPI 2019-11-23 /pmc/articles/PMC6929102/ /pubmed/31771175 http://dx.doi.org/10.3390/s19235135 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Wen-Kai
Liu, Yi-Ming
Single-Pixel Imaging with Origami Pattern Construction
title Single-Pixel Imaging with Origami Pattern Construction
title_full Single-Pixel Imaging with Origami Pattern Construction
title_fullStr Single-Pixel Imaging with Origami Pattern Construction
title_full_unstemmed Single-Pixel Imaging with Origami Pattern Construction
title_short Single-Pixel Imaging with Origami Pattern Construction
title_sort single-pixel imaging with origami pattern construction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929102/
https://www.ncbi.nlm.nih.gov/pubmed/31771175
http://dx.doi.org/10.3390/s19235135
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