Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system

Abstract Intact optical information of an object delivered through an imaging system is deteriorated by imperfect optical elements and unwanted defects. Image deconvolution has been widely exploited as a recovery technique due to its practical feasibility, and operates by assuming linear shift-invar...

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Autores principales:	SangYun Lee, KyeoReh Lee, Seungwoo Shin, YongKeun Park
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1893efff8aaf4de9a8e1958c405349b0
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spelling	oai:doaj.org-article:1893efff8aaf4de9a8e1958c405349b02021-12-02T11:53:05ZGeneralized image deconvolution by exploiting the transmission matrix of an optical imaging system10.1038/s41598-017-07937-82045-2322https://doaj.org/article/1893efff8aaf4de9a8e1958c405349b02017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07937-8https://doaj.org/toc/2045-2322Abstract Intact optical information of an object delivered through an imaging system is deteriorated by imperfect optical elements and unwanted defects. Image deconvolution has been widely exploited as a recovery technique due to its practical feasibility, and operates by assuming linear shift-invariant property of the imaging system. However, shift invariance does not rigorously hold in all imaging situations and is not a necessary condition for solving an inverse problem of light propagation. Several improved deconvolution techniques exploiting spatially variant point spread functions have been proposed in previous studies. However, the full characterization of an optical imaging system for compensating aberrations has not been considered. Here, we present a generalized method to solve the linear inverse problem of coherent light propagations without any regularization method or constraint on shift invariance by fully measuring the transmission matrix of the imaging system. Our results show that severe aberrations produced by a tilted lens or an inserted disordered layer can be corrected properly only by the proposed generalized image deconvolution. This work generalizes the theory of image deconvolution, and enables distortion-free imaging under general imaging condition.SangYun LeeKyeoReh LeeSeungwoo ShinYongKeun ParkNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q SangYun Lee KyeoReh Lee Seungwoo Shin YongKeun Park Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
description	Abstract Intact optical information of an object delivered through an imaging system is deteriorated by imperfect optical elements and unwanted defects. Image deconvolution has been widely exploited as a recovery technique due to its practical feasibility, and operates by assuming linear shift-invariant property of the imaging system. However, shift invariance does not rigorously hold in all imaging situations and is not a necessary condition for solving an inverse problem of light propagation. Several improved deconvolution techniques exploiting spatially variant point spread functions have been proposed in previous studies. However, the full characterization of an optical imaging system for compensating aberrations has not been considered. Here, we present a generalized method to solve the linear inverse problem of coherent light propagations without any regularization method or constraint on shift invariance by fully measuring the transmission matrix of the imaging system. Our results show that severe aberrations produced by a tilted lens or an inserted disordered layer can be corrected properly only by the proposed generalized image deconvolution. This work generalizes the theory of image deconvolution, and enables distortion-free imaging under general imaging condition.
format	article
author	SangYun Lee KyeoReh Lee Seungwoo Shin YongKeun Park
author_facet	SangYun Lee KyeoReh Lee Seungwoo Shin YongKeun Park
author_sort	SangYun Lee
title	Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
title_short	Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
title_full	Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
title_fullStr	Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
title_full_unstemmed	Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
title_sort	generalized image deconvolution by exploiting the transmission matrix of an optical imaging system
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1893efff8aaf4de9a8e1958c405349b0
work_keys_str_mv	AT sangyunlee generalizedimagedeconvolutionbyexploitingthetransmissionmatrixofanopticalimagingsystem AT kyeorehlee generalizedimagedeconvolutionbyexploitingthetransmissionmatrixofanopticalimagingsystem AT seungwooshin generalizedimagedeconvolutionbyexploitingthetransmissionmatrixofanopticalimagingsystem AT yongkeunpark generalizedimagedeconvolutionbyexploitingthetransmissionmatrixofanopticalimagingsystem
_version_	1718394852077469696

Generalized image deconvolution by exploiting the transmission matrix of an optical imaging system

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