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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10536423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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