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Reconstruction of pulse noisy images via stochastic resonance

We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability. A theoretical model of this method for optical pulse signal is built to effectively recover the pulse image. The nanosecond noise-hidden imag...

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Detalles Bibliográficos
Autores principales: Han, Jing, Liu, Hongjun, Sun, Qibing, Huang, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464402/
https://www.ncbi.nlm.nih.gov/pubmed/26067911
http://dx.doi.org/10.1038/srep10616
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author Han, Jing
Liu, Hongjun
Sun, Qibing
Huang, Nan
author_facet Han, Jing
Liu, Hongjun
Sun, Qibing
Huang, Nan
author_sort Han, Jing
collection PubMed
description We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability. A theoretical model of this method for optical pulse signal is built to effectively recover the pulse image. The nanosecond noise-hidden images grow at the expense of noise during the stochastic resonance process in a photorefractive medium. The properties of output images are mainly determined by the input signal-to-noise intensity ratio, the applied voltage across the medium, and the correlation length of noise background. A high cross-correlation gain is obtained by optimizing these parameters. This provides a potential method for detecting low-level or hidden pulse images in various imaging applications.
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spelling pubmed-44644022015-06-18 Reconstruction of pulse noisy images via stochastic resonance Han, Jing Liu, Hongjun Sun, Qibing Huang, Nan Sci Rep Article We investigate a practical technology for reconstructing nanosecond pulse noisy images via stochastic resonance, which is based on the modulation instability. A theoretical model of this method for optical pulse signal is built to effectively recover the pulse image. The nanosecond noise-hidden images grow at the expense of noise during the stochastic resonance process in a photorefractive medium. The properties of output images are mainly determined by the input signal-to-noise intensity ratio, the applied voltage across the medium, and the correlation length of noise background. A high cross-correlation gain is obtained by optimizing these parameters. This provides a potential method for detecting low-level or hidden pulse images in various imaging applications. Nature Publishing Group 2015-06-12 /pmc/articles/PMC4464402/ /pubmed/26067911 http://dx.doi.org/10.1038/srep10616 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Han, Jing
Liu, Hongjun
Sun, Qibing
Huang, Nan
Reconstruction of pulse noisy images via stochastic resonance
title Reconstruction of pulse noisy images via stochastic resonance
title_full Reconstruction of pulse noisy images via stochastic resonance
title_fullStr Reconstruction of pulse noisy images via stochastic resonance
title_full_unstemmed Reconstruction of pulse noisy images via stochastic resonance
title_short Reconstruction of pulse noisy images via stochastic resonance
title_sort reconstruction of pulse noisy images via stochastic resonance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464402/
https://www.ncbi.nlm.nih.gov/pubmed/26067911
http://dx.doi.org/10.1038/srep10616
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