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A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera

In order to verify the technology of the membrane diffractive imaging system for Chinese next generation geo-stationary earth orbit (GEO) satellite, a series of ground experiments have been carried out using a membrane optical camera with 80 mm aperture (Φ80) lens. The inherent chromatic aberration...

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Detalles Bibliográficos
Autores principales: Du, Yanlei, Yang, Xiaofeng, Ma, Yiping, Xu, Chunxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913842/
https://www.ncbi.nlm.nih.gov/pubmed/33557093
http://dx.doi.org/10.3390/s21041053
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author Du, Yanlei
Yang, Xiaofeng
Ma, Yiping
Xu, Chunxue
author_facet Du, Yanlei
Yang, Xiaofeng
Ma, Yiping
Xu, Chunxue
author_sort Du, Yanlei
collection PubMed
description In order to verify the technology of the membrane diffractive imaging system for Chinese next generation geo-stationary earth orbit (GEO) satellite, a series of ground experiments have been carried out using a membrane optical camera with 80 mm aperture (Φ80) lens. The inherent chromatic aberration due to diffractive imaging appears in the obtained data. To address the issue, an effective color restoration algorithm framework by matching, tailoring, and non-linearly stretching the image histograms is proposed in this letter. Experimental results show the proposed approach has good performances in color restoration of the diffractive optical images than previous methods. The effectiveness and robustness of the algorithm are also quantitatively assessed using various color deviation indexes. The results indicate that the chromatic aberration of diffractive images can be effectively removed by about 85%. Also, the proposed method presents reasonable computational efficiency.
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spelling pubmed-79138422021-02-28 A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera Du, Yanlei Yang, Xiaofeng Ma, Yiping Xu, Chunxue Sensors (Basel) Communication In order to verify the technology of the membrane diffractive imaging system for Chinese next generation geo-stationary earth orbit (GEO) satellite, a series of ground experiments have been carried out using a membrane optical camera with 80 mm aperture (Φ80) lens. The inherent chromatic aberration due to diffractive imaging appears in the obtained data. To address the issue, an effective color restoration algorithm framework by matching, tailoring, and non-linearly stretching the image histograms is proposed in this letter. Experimental results show the proposed approach has good performances in color restoration of the diffractive optical images than previous methods. The effectiveness and robustness of the algorithm are also quantitatively assessed using various color deviation indexes. The results indicate that the chromatic aberration of diffractive images can be effectively removed by about 85%. Also, the proposed method presents reasonable computational efficiency. MDPI 2021-02-04 /pmc/articles/PMC7913842/ /pubmed/33557093 http://dx.doi.org/10.3390/s21041053 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Du, Yanlei
Yang, Xiaofeng
Ma, Yiping
Xu, Chunxue
A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title_full A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title_fullStr A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title_full_unstemmed A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title_short A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera
title_sort color restoration algorithm for diffractive optical images of membrane camera
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913842/
https://www.ncbi.nlm.nih.gov/pubmed/33557093
http://dx.doi.org/10.3390/s21041053
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