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A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System

For traditional imaging systems, high imaging quality and system miniaturization are often contradictory. In order to meet the requirements of high imaging quality and system miniaturization, this paper proposes a method to correct the aberration of coherent imaging optical systems. The method is ba...

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Detalles Bibliográficos
Autores principales: Zhang, Yu, Zhang, Hongwen, Yuan, Guoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536423/
https://www.ncbi.nlm.nih.gov/pubmed/37765736
http://dx.doi.org/10.3390/s23187679
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author Zhang, Yu
Zhang, Hongwen
Yuan, Guoqin
author_facet Zhang, Yu
Zhang, Hongwen
Yuan, Guoqin
author_sort Zhang, Yu
collection PubMed
description For traditional imaging systems, high imaging quality and system miniaturization are often contradictory. In order to meet the requirements of high imaging quality and system miniaturization, this paper proposes a method to correct the aberration of coherent imaging optical systems. The method is based on the idea of phase recovery and the imaging principle of a coherent imaging system to recover the aberrations at the exit pupil of the system. According to the recovered aberrations, conjugate filters are constructed to correct the image quality in the frequency domain. The imaging quality of the system is improved without changing the original optical path, and the simplicity of the system is guaranteed. To solve the pupil frequency domain aberration more accurately, this paper adopts the dual competition and parallel recombination strategy based on the genetic algorithm and introduces the disaster model. The improved genetic algorithm can effectively restrain the appearance of the “precocity” phenomenon. Finally, the paraxial imaging optical path is simulated and verified by experiments. The results show that, after aberration correction, the image sharpness is improved and the edge information is richer, which verifies the feasibility of the coherent imaging system image quality enhancement method proposed in this paper.
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spelling pubmed-105364232023-09-29 A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System Zhang, Yu Zhang, Hongwen Yuan, Guoqin Sensors (Basel) Article For traditional imaging systems, high imaging quality and system miniaturization are often contradictory. In order to meet the requirements of high imaging quality and system miniaturization, this paper proposes a method to correct the aberration of coherent imaging optical systems. The method is based on the idea of phase recovery and the imaging principle of a coherent imaging system to recover the aberrations at the exit pupil of the system. According to the recovered aberrations, conjugate filters are constructed to correct the image quality in the frequency domain. The imaging quality of the system is improved without changing the original optical path, and the simplicity of the system is guaranteed. To solve the pupil frequency domain aberration more accurately, this paper adopts the dual competition and parallel recombination strategy based on the genetic algorithm and introduces the disaster model. The improved genetic algorithm can effectively restrain the appearance of the “precocity” phenomenon. Finally, the paraxial imaging optical path is simulated and verified by experiments. The results show that, after aberration correction, the image sharpness is improved and the edge information is richer, which verifies the feasibility of the coherent imaging system image quality enhancement method proposed in this paper. MDPI 2023-09-05 /pmc/articles/PMC10536423/ /pubmed/37765736 http://dx.doi.org/10.3390/s23187679 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Yu
Zhang, Hongwen
Yuan, Guoqin
A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title_full A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title_fullStr A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title_full_unstemmed A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title_short A Phase Recovery Technique Using the Genetic Algorithm for Aberration Correction in a Coherent Imaging System
title_sort phase recovery technique using the genetic algorithm for aberration correction in a coherent imaging system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536423/
https://www.ncbi.nlm.nih.gov/pubmed/37765736
http://dx.doi.org/10.3390/s23187679
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