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High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors

Microlens array (MLA) errors in plenoptic cameras can cause the confusion or mismatching of 4D spatio-angular information in the image space, significantly affecting the accuracy and efficiency of target reconstruction. In this paper, we present a high-accuracy correction method for light fields dis...

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Detalles Bibliográficos
Autores principales: Li, Suning, Yuan, Yuan, Gao, Ziyi, Tan, Heping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767096/
https://www.ncbi.nlm.nih.gov/pubmed/31514430
http://dx.doi.org/10.3390/s19183922
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author Li, Suning
Yuan, Yuan
Gao, Ziyi
Tan, Heping
author_facet Li, Suning
Yuan, Yuan
Gao, Ziyi
Tan, Heping
author_sort Li, Suning
collection PubMed
description Microlens array (MLA) errors in plenoptic cameras can cause the confusion or mismatching of 4D spatio-angular information in the image space, significantly affecting the accuracy and efficiency of target reconstruction. In this paper, we present a high-accuracy correction method for light fields distorted by MLA errors. Subpixel feature points are extracted from the microlens subimages of a raw image to obtain correction matrices and perform registration of the corresponding subimages at a subpixel level. The proposed method is applied for correcting MLA errors of two different categories in light-field images, namely form errors and orientation errors. Experimental results show that the proposed method can rectify the geometric and intensity distortions of raw images accurately and improve the quality of light-field refocusing. Qualitative and quantitative comparisons between images before and after correction verify the performance of our method in terms of accuracy, stability, and adaptability.
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spelling pubmed-67670962019-10-02 High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors Li, Suning Yuan, Yuan Gao, Ziyi Tan, Heping Sensors (Basel) Article Microlens array (MLA) errors in plenoptic cameras can cause the confusion or mismatching of 4D spatio-angular information in the image space, significantly affecting the accuracy and efficiency of target reconstruction. In this paper, we present a high-accuracy correction method for light fields distorted by MLA errors. Subpixel feature points are extracted from the microlens subimages of a raw image to obtain correction matrices and perform registration of the corresponding subimages at a subpixel level. The proposed method is applied for correcting MLA errors of two different categories in light-field images, namely form errors and orientation errors. Experimental results show that the proposed method can rectify the geometric and intensity distortions of raw images accurately and improve the quality of light-field refocusing. Qualitative and quantitative comparisons between images before and after correction verify the performance of our method in terms of accuracy, stability, and adaptability. MDPI 2019-09-11 /pmc/articles/PMC6767096/ /pubmed/31514430 http://dx.doi.org/10.3390/s19183922 Text en © 2019 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 Article
Li, Suning
Yuan, Yuan
Gao, Ziyi
Tan, Heping
High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title_full High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title_fullStr High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title_full_unstemmed High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title_short High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors
title_sort high-accuracy correction of a microlens array for plenoptic imaging sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767096/
https://www.ncbi.nlm.nih.gov/pubmed/31514430
http://dx.doi.org/10.3390/s19183922
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