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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6929102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yuwenkai singlepixelimagingwithorigamipatternconstruction AT liuyiming singlepixelimagingwithorigamipatternconstruction |