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A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging
Based on bionic compound eye and human foveated imaging mechanisms, a hybrid bionic image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high resolution. First, the hybrid bionic imaging model was developed and the structure parameters of the HBIS were deduced. Second...
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/PMC5948721/ https://www.ncbi.nlm.nih.gov/pubmed/29601531 http://dx.doi.org/10.3390/s18041042 |
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author | Hao, Qun Wang, Zihan Cao, Jie Zhang, Fanghua |
author_facet | Hao, Qun Wang, Zihan Cao, Jie Zhang, Fanghua |
author_sort | Hao, Qun |
collection | PubMed |
description | Based on bionic compound eye and human foveated imaging mechanisms, a hybrid bionic image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high resolution. First, the hybrid bionic imaging model was developed and the structure parameters of the HBIS were deduced. Second, the properties of the HBIS were simulated, including FOV extension, super-resolution imaging, foveal ratio and so on. Third, a prototype of the HBIS was developed to validate the theory. Imaging experiments were carried out, and the results are in accordance with the simulations, proving the potential of the HBIS for large FOV and high-resolution imaging with low cost. |
format | Online Article Text |
id | pubmed-5948721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59487212018-05-17 A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging Hao, Qun Wang, Zihan Cao, Jie Zhang, Fanghua Sensors (Basel) Article Based on bionic compound eye and human foveated imaging mechanisms, a hybrid bionic image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high resolution. First, the hybrid bionic imaging model was developed and the structure parameters of the HBIS were deduced. Second, the properties of the HBIS were simulated, including FOV extension, super-resolution imaging, foveal ratio and so on. Third, a prototype of the HBIS was developed to validate the theory. Imaging experiments were carried out, and the results are in accordance with the simulations, proving the potential of the HBIS for large FOV and high-resolution imaging with low cost. MDPI 2018-03-30 /pmc/articles/PMC5948721/ /pubmed/29601531 http://dx.doi.org/10.3390/s18041042 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 Hao, Qun Wang, Zihan Cao, Jie Zhang, Fanghua A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title | A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title_full | A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title_fullStr | A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title_full_unstemmed | A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title_short | A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging |
title_sort | hybrid bionic image sensor achieving fov extension and foveated imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948721/ https://www.ncbi.nlm.nih.gov/pubmed/29601531 http://dx.doi.org/10.3390/s18041042 |
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