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CLC number: O438

On-line Access: 2022-06-17

Received: 2021-01-31

Revision Accepted: 2022-07-05

Crosschecked: 2021-05-18

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Qiming QI

https://orcid.org/0000-0001-9141-4767

Hongqi FAN

https://orcid.org/0000-0002-9990-9163

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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.6 P.823-844

http://doi.org/10.1631/FITEE.2100058


Multi-aperture optical imaging systems and their mathematical light field acquisition models


Author(s):  Qiming QI, Ruigang FU, Zhengzheng SHAO, Ping WANG, Hongqi FAN

Affiliation(s):  National Key Laboratory of Science and Technology on ATR, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Corresponding email(s):   qiqiming19@163.com, fanhongqi@nudt.edu.cn

Key Words:  Multi-aperture optical imaging system, Artificial compound eye, Light field camera, Camera array, Light field acquisition model


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Qiming QI, Ruigang FU, Zhengzheng SHAO, Ping WANG, Hongqi FAN. Multi-aperture optical imaging systems and their mathematical light field acquisition models[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(6): 823-844.

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Abstract: 
Inspired by the compound eyes of insects, many multi-aperture optical imaging systems have been proposed to improve the imaging quality, e.g., to yield a high-resolution image or an image with a large field-of-view. Previous research has reviewed existing multi-aperture optical imaging systems, but few papers emphasize the light field acquisition model which is essential to bridge the gap between configuration design and application. In this paper, we review typical multi-aperture optical imaging systems (i.e., artificial compound eye, light field camera, and camera array), and then summarize general mathematical light field acquisition models for different configurations. These mathematical models provide methods for calculating the key indexes of a specific multi-aperture optical imaging system, such as the field-of-view and sub-image overlap ratio. The mathematical tools simplify the quantitative design and evaluation of imaging systems for researchers.

多孔径光学成像系统及其光场采集数学模型

祁启明,傅瑞罡,邵铮铮,王平,范红旗
国防科技大学电子科学学院ATR重点实验室,中国长沙市,410073
摘要:受昆虫复眼启发,为提高光学成像质量,如获得高分辨率图像或大视场图像,研究者提出了许多多孔径光学成像系统。光场采集数学模型是联系多孔径光学成像系统结构设计与应用的纽带,但光场采集数学模型较少被关注。本文系统梳理了典型多孔径光学成像系统(仿生复眼、光场相机、相机阵列),总结了不同结构下多孔径光学成像系统的一般性光场采集数学模型。列出的数学模型既可用于计算特定多孔径光学成像系统的关键指标,如视场大小和子图像重叠比等,也可作为数学工具,便于研究者完成对成像系统的定量设计与评估。

关键词:多孔径光学成像系统;仿生复眼;光场相机;相机阵列;光场采集模型

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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