Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern

We provide a method to evaluate effects of a lossy and noisy optical channel in computational ghost imaging (CGI) technique. Instead of preparing an external noise source, we simulate the optical channel with a basic CGI experiment using programmatically generated noise-induced patterns. By using ou...

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Detalles Bibliográficos
Autores principales: Heo, Jaesung, Kim, Junghyun, Jeong, Taek, Lee, Sangkyung, Ihn, Yong Sup, Kim, Zaeill, Jo, Yonggi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276787/
https://www.ncbi.nlm.nih.gov/pubmed/35821516
http://dx.doi.org/10.1038/s41598-022-15783-6
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author Heo, Jaesung
Kim, Junghyun
Jeong, Taek
Lee, Sangkyung
Ihn, Yong Sup
Kim, Zaeill
Jo, Yonggi
author_facet Heo, Jaesung
Kim, Junghyun
Jeong, Taek
Lee, Sangkyung
Ihn, Yong Sup
Kim, Zaeill
Jo, Yonggi
author_sort Heo, Jaesung
collection PubMed
description We provide a method to evaluate effects of a lossy and noisy optical channel in computational ghost imaging (CGI) technique. Instead of preparing an external noise source, we simulate the optical channel with a basic CGI experiment using programmatically generated noise-induced patterns. By using our method, we show that CGI can reject a noise of which intensity is similar with an imaging signal intensity at a target. The results with our method are well matched with experimental ones including external noise source. This method would provide useful knowledge to analyze environmental effects in CGI without realization of the environment.
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spelling pubmed-92767872022-07-14 Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern Heo, Jaesung Kim, Junghyun Jeong, Taek Lee, Sangkyung Ihn, Yong Sup Kim, Zaeill Jo, Yonggi Sci Rep Article We provide a method to evaluate effects of a lossy and noisy optical channel in computational ghost imaging (CGI) technique. Instead of preparing an external noise source, we simulate the optical channel with a basic CGI experiment using programmatically generated noise-induced patterns. By using our method, we show that CGI can reject a noise of which intensity is similar with an imaging signal intensity at a target. The results with our method are well matched with experimental ones including external noise source. This method would provide useful knowledge to analyze environmental effects in CGI without realization of the environment. Nature Publishing Group UK 2022-07-11 /pmc/articles/PMC9276787/ /pubmed/35821516 http://dx.doi.org/10.1038/s41598-022-15783-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Heo, Jaesung
Kim, Junghyun
Jeong, Taek
Lee, Sangkyung
Ihn, Yong Sup
Kim, Zaeill
Jo, Yonggi
Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title_full Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title_fullStr Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title_full_unstemmed Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title_short Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
title_sort lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276787/
https://www.ncbi.nlm.nih.gov/pubmed/35821516
http://dx.doi.org/10.1038/s41598-022-15783-6
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