Nonlinear restoration of pulse and high noisy images via stochastic resonance

We propose a novel scheme for restoring pulse and high noisy images using stochastic resonance, which is based on the modulation instability and provides a cross-correlation gain higher than 8. As opposed to previously reported designs, this unique approach employs a continuous noise and pulse signa...

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Detalles Bibliográficos
Autores principales: Sun, Qibing, Liu, Hongjun, Huang, Nan, Wang, Zhaolu, Han, Jing, Li, Shaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632024/
https://www.ncbi.nlm.nih.gov/pubmed/26530885
http://dx.doi.org/10.1038/srep16183
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author Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
Li, Shaopeng
author_facet Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
Li, Shaopeng
author_sort Sun, Qibing
collection PubMed
description We propose a novel scheme for restoring pulse and high noisy images using stochastic resonance, which is based on the modulation instability and provides a cross-correlation gain higher than 8. As opposed to previously reported designs, this unique approach employs a continuous noise and pulse signal for the generation of modulation instability. The visibility and quality of output images can be improved by appropriately adjusting the system parameters. This provides a simple and feasible method for detecting low-level or hidden pulse images in various imaging applications.
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spelling pubmed-46320242015-12-07 Nonlinear restoration of pulse and high noisy images via stochastic resonance Sun, Qibing Liu, Hongjun Huang, Nan Wang, Zhaolu Han, Jing Li, Shaopeng Sci Rep Article We propose a novel scheme for restoring pulse and high noisy images using stochastic resonance, which is based on the modulation instability and provides a cross-correlation gain higher than 8. As opposed to previously reported designs, this unique approach employs a continuous noise and pulse signal for the generation of modulation instability. The visibility and quality of output images can be improved by appropriately adjusting the system parameters. This provides a simple and feasible method for detecting low-level or hidden pulse images in various imaging applications. Nature Publishing Group 2015-11-04 /pmc/articles/PMC4632024/ /pubmed/26530885 http://dx.doi.org/10.1038/srep16183 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
Sun, Qibing
Liu, Hongjun
Huang, Nan
Wang, Zhaolu
Han, Jing
Li, Shaopeng
Nonlinear restoration of pulse and high noisy images via stochastic resonance
title Nonlinear restoration of pulse and high noisy images via stochastic resonance
title_full Nonlinear restoration of pulse and high noisy images via stochastic resonance
title_fullStr Nonlinear restoration of pulse and high noisy images via stochastic resonance
title_full_unstemmed Nonlinear restoration of pulse and high noisy images via stochastic resonance
title_short Nonlinear restoration of pulse and high noisy images via stochastic resonance
title_sort nonlinear restoration of pulse and high noisy images via stochastic resonance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632024/
https://www.ncbi.nlm.nih.gov/pubmed/26530885
http://dx.doi.org/10.1038/srep16183
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