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The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor
In this paper, the non-ideal factors, which include spatial noise and temporal noise, are analyzed and suppressed in the high-speed spike-based image sensor, which combines the high-speed scanning sequential format with the method that uses the interspike time interval to indicate the scene informat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308635/ https://www.ncbi.nlm.nih.gov/pubmed/30513844 http://dx.doi.org/10.3390/s18124232 |
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author | Gao, Jing Wang, Yanzhao Nie, Kaiming Gao, Zhiyuan Xu, Jiangtao |
author_facet | Gao, Jing Wang, Yanzhao Nie, Kaiming Gao, Zhiyuan Xu, Jiangtao |
author_sort | Gao, Jing |
collection | PubMed |
description | In this paper, the non-ideal factors, which include spatial noise and temporal noise, are analyzed and suppressed in the high-speed spike-based image sensor, which combines the high-speed scanning sequential format with the method that uses the interspike time interval to indicate the scene information. In this imager, spatial noise contains device mismatch, which results in photo response non-uniformity (PRNU) and the non-uniformity of dark current. By multiplying the measured coefficient matrix the photo response non-uniformity is suppressed, and the non-uniformity of dark current is suppressed by correcting the interspike time interval based on the time interval of dark current. The temporal noise is composed of the shot noise and thermal noise. This kind of noise can be eliminated when using the spike frequency to restore the image. The experimental results show that, based on the spike frequency method, the standard deviation of the image decreases from 18.4792 to 0.5683 in the uniform bright light by using the calibration algorithm. While in the relatively uniform dark condition, the standard deviation decreases from 1.5812 to 0.4516. Based on interspike time interval method, because of time mismatch and temporal noise, the standard deviation of the image changes from 27.4252 to 27.4977 in the uniform bright light by using the calibration algorithm. While in the uniform dark condition, the standard deviation decreases from 2.361 to 0.3678. |
format | Online Article Text |
id | pubmed-6308635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63086352019-01-04 The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor Gao, Jing Wang, Yanzhao Nie, Kaiming Gao, Zhiyuan Xu, Jiangtao Sensors (Basel) Article In this paper, the non-ideal factors, which include spatial noise and temporal noise, are analyzed and suppressed in the high-speed spike-based image sensor, which combines the high-speed scanning sequential format with the method that uses the interspike time interval to indicate the scene information. In this imager, spatial noise contains device mismatch, which results in photo response non-uniformity (PRNU) and the non-uniformity of dark current. By multiplying the measured coefficient matrix the photo response non-uniformity is suppressed, and the non-uniformity of dark current is suppressed by correcting the interspike time interval based on the time interval of dark current. The temporal noise is composed of the shot noise and thermal noise. This kind of noise can be eliminated when using the spike frequency to restore the image. The experimental results show that, based on the spike frequency method, the standard deviation of the image decreases from 18.4792 to 0.5683 in the uniform bright light by using the calibration algorithm. While in the relatively uniform dark condition, the standard deviation decreases from 1.5812 to 0.4516. Based on interspike time interval method, because of time mismatch and temporal noise, the standard deviation of the image changes from 27.4252 to 27.4977 in the uniform bright light by using the calibration algorithm. While in the uniform dark condition, the standard deviation decreases from 2.361 to 0.3678. MDPI 2018-12-02 /pmc/articles/PMC6308635/ /pubmed/30513844 http://dx.doi.org/10.3390/s18124232 Text en © 2018 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 Gao, Jing Wang, Yanzhao Nie, Kaiming Gao, Zhiyuan Xu, Jiangtao The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title | The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title_full | The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title_fullStr | The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title_full_unstemmed | The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title_short | The Analysis and Suppressing of Non-Uniformity in a High-Speed Spike-Based Image Sensor |
title_sort | analysis and suppressing of non-uniformity in a high-speed spike-based image sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308635/ https://www.ncbi.nlm.nih.gov/pubmed/30513844 http://dx.doi.org/10.3390/s18124232 |
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