Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution

Abstract Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing. Recent research progresses provide several feasible solutions, which are hampered by limited complexity of targets, invasiveness of data collectio...

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Autores principales:	Zhouping Wang, Xin Jin, Qionghai Dai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/59435f26c20d4570a02a027dbb74a9d6
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spelling	oai:doaj.org-article:59435f26c20d4570a02a027dbb74a9d62021-12-02T11:40:16ZNon-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution10.1038/s41598-018-27467-12045-2322https://doaj.org/article/59435f26c20d4570a02a027dbb74a9d62018-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-27467-1https://doaj.org/toc/2045-2322Abstract Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing. Recent research progresses provide several feasible solutions, which are hampered by limited complexity of targets, invasiveness of data collection process and lack of robustness for reconstruction. In this paper, we show that the complex to-be-observed targets can be non-invasively reconstructed with fine details. Training targets, which can be directly reconstructed by speckle correlation and phase retrieval, are utilized as the input of the proposed speckle pattern estimation model, in which speckle modeling and constrained least square optimization are applied to estimate the distribution of the speckle pattern. Reconstructions for to-be-observed targets are realized by deconvoluting the estimated speckle pattern from the acquired integrated intensity matrices (IIMs). The qualities of reconstructed results are ensured by the stable statistical property and memory effect of laser speckle patterns. Experimental results show that the proposed method can reconstruct complex targets in high quality and the reconstruction performance is robust even much less data are acquired.Zhouping WangXin JinQionghai DaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhouping Wang Xin Jin Qionghai Dai Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
description	Abstract Imaging through scattering media is still a formidable challenge with widespread applications ranging from biomedical imaging to remote sensing. Recent research progresses provide several feasible solutions, which are hampered by limited complexity of targets, invasiveness of data collection process and lack of robustness for reconstruction. In this paper, we show that the complex to-be-observed targets can be non-invasively reconstructed with fine details. Training targets, which can be directly reconstructed by speckle correlation and phase retrieval, are utilized as the input of the proposed speckle pattern estimation model, in which speckle modeling and constrained least square optimization are applied to estimate the distribution of the speckle pattern. Reconstructions for to-be-observed targets are realized by deconvoluting the estimated speckle pattern from the acquired integrated intensity matrices (IIMs). The qualities of reconstructed results are ensured by the stable statistical property and memory effect of laser speckle patterns. Experimental results show that the proposed method can reconstruct complex targets in high quality and the reconstruction performance is robust even much less data are acquired.
format	article
author	Zhouping Wang Xin Jin Qionghai Dai
author_facet	Zhouping Wang Xin Jin Qionghai Dai
author_sort	Zhouping Wang
title	Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
title_short	Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
title_full	Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
title_fullStr	Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
title_full_unstemmed	Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
title_sort	non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/59435f26c20d4570a02a027dbb74a9d6
work_keys_str_mv	AT zhoupingwang noninvasiveimagingthroughstronglyscatteringmediabasedonspecklepatternestimationanddeconvolution AT xinjin noninvasiveimagingthroughstronglyscatteringmediabasedonspecklepatternestimationanddeconvolution AT qionghaidai noninvasiveimagingthroughstronglyscatteringmediabasedonspecklepatternestimationanddeconvolution
_version_	1718395643348647936

Non-invasive imaging through strongly scattering media based on speckle pattern estimation and deconvolution

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