Secured regions of interest (SROIs) in single-pixel imaging
Abstract Single-pixel imaging, which is also known as computational ghost imaging, can reconstruct an entire image using one non-spatially resolved detector. However, it often requires a large amount of sampling, severely limiting its application. In this paper, we discuss the implementation of secu...
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Nature Portfolio
2019
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oai:doaj.org-article:3fd1235990d8473ab29abac702bd56402021-12-02T15:09:31ZSecured regions of interest (SROIs) in single-pixel imaging10.1038/s41598-019-49282-y2045-2322https://doaj.org/article/3fd1235990d8473ab29abac702bd56402019-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-49282-yhttps://doaj.org/toc/2045-2322Abstract Single-pixel imaging, which is also known as computational ghost imaging, can reconstruct an entire image using one non-spatially resolved detector. However, it often requires a large amount of sampling, severely limiting its application. In this paper, we discuss the implementation of secured regions of interest (SROIs) in single-pixel imaging and illustrate its application using two experiments. Under a limited number of sampling times, we improved the resolution and recovered spectral information of interest in the ROI. Meanwhile, this scheme has high information security with high encryption and has great potential for single-pixel video and compressive multi-spectral single-pixel imaging.Zhiyuan YeBo SuPanghe QiuWenxiang GaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-8 (2019) |
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Medicine R Science Q Zhiyuan Ye Bo Su Panghe Qiu Wenxiang Gao Secured regions of interest (SROIs) in single-pixel imaging |
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Abstract Single-pixel imaging, which is also known as computational ghost imaging, can reconstruct an entire image using one non-spatially resolved detector. However, it often requires a large amount of sampling, severely limiting its application. In this paper, we discuss the implementation of secured regions of interest (SROIs) in single-pixel imaging and illustrate its application using two experiments. Under a limited number of sampling times, we improved the resolution and recovered spectral information of interest in the ROI. Meanwhile, this scheme has high information security with high encryption and has great potential for single-pixel video and compressive multi-spectral single-pixel imaging. |
format |
article |
author |
Zhiyuan Ye Bo Su Panghe Qiu Wenxiang Gao |
author_facet |
Zhiyuan Ye Bo Su Panghe Qiu Wenxiang Gao |
author_sort |
Zhiyuan Ye |
title |
Secured regions of interest (SROIs) in single-pixel imaging |
title_short |
Secured regions of interest (SROIs) in single-pixel imaging |
title_full |
Secured regions of interest (SROIs) in single-pixel imaging |
title_fullStr |
Secured regions of interest (SROIs) in single-pixel imaging |
title_full_unstemmed |
Secured regions of interest (SROIs) in single-pixel imaging |
title_sort |
secured regions of interest (srois) in single-pixel imaging |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/3fd1235990d8473ab29abac702bd5640 |
work_keys_str_mv |
AT zhiyuanye securedregionsofinterestsroisinsinglepixelimaging AT bosu securedregionsofinterestsroisinsinglepixelimaging AT pangheqiu securedregionsofinterestsroisinsinglepixelimaging AT wenxianggao securedregionsofinterestsroisinsinglepixelimaging |
_version_ |
1718387808667697152 |