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Pulse noise-hidden image reconstruction and visualization via stochastic resonance

We investigate the nanosecond pulse noise-hidden image reconstruction and visualization using stochastic resonance implemented by modulation instability. In particular, this dynamical stochastic resonance holds with coupling between the pulse incoherent noise and pulse coherent signal, and provides...

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Detalles Bibliográficos
Autores principales: Sun, Qibing, Liu, Hongjun, Huang, Nan, Wang, Zhaolu, Han, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099702/
https://www.ncbi.nlm.nih.gov/pubmed/27824152
http://dx.doi.org/10.1038/srep36678
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author Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
author_facet Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
author_sort Sun, Qibing
collection PubMed
description We investigate the nanosecond pulse noise-hidden image reconstruction and visualization using stochastic resonance implemented by modulation instability. In particular, this dynamical stochastic resonance holds with coupling between the pulse incoherent noise and pulse coherent signal, and provides a substantial enhancement of the signal-to-noise ratio and cross-correlation. This means that the pulse noise-hidden image can be effectively reconstructed with high visibility and fidelity via stochastic resonance at appropriate system parameters. Such a simple and convenient method has potential applications in image processing under noisy environment.
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spelling pubmed-50997022016-11-14 Pulse noise-hidden image reconstruction and visualization via stochastic resonance Sun, Qibing Liu, Hongjun Huang, Nan Wang, Zhaolu Han, Jing Sci Rep Article We investigate the nanosecond pulse noise-hidden image reconstruction and visualization using stochastic resonance implemented by modulation instability. In particular, this dynamical stochastic resonance holds with coupling between the pulse incoherent noise and pulse coherent signal, and provides a substantial enhancement of the signal-to-noise ratio and cross-correlation. This means that the pulse noise-hidden image can be effectively reconstructed with high visibility and fidelity via stochastic resonance at appropriate system parameters. Such a simple and convenient method has potential applications in image processing under noisy environment. Nature Publishing Group 2016-11-08 /pmc/articles/PMC5099702/ /pubmed/27824152 http://dx.doi.org/10.1038/srep36678 Text en Copyright © 2016, The Author(s) 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
Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title_full Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title_fullStr Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title_full_unstemmed Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title_short Pulse noise-hidden image reconstruction and visualization via stochastic resonance
title_sort pulse noise-hidden image reconstruction and visualization via stochastic resonance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099702/
https://www.ncbi.nlm.nih.gov/pubmed/27824152
http://dx.doi.org/10.1038/srep36678
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