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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2020 Vol.21 No.8 P.1119-1133
Review of compact computational spectral information acquisition systems
Abstract: With the development of computer science, more and more hardware implementations can be reproduced by software programming, bringing compact, cheap, and fast components to imaging instrumentation. In recent years, computational methods have been introduced into spectral detection, and computational spectrum acquisition implementations have emerged. This paper highlights the advantages of computational spectrum acquisition implementations by comparing them with traditional non-computational methods. Then, focusing on the compact feature, we review the most representative implementations, and finally make discussion and offer an outlook.
Key words: Spectral imaging, Computational imaging, Spectrometer
1浙江大学光电科学与工程学院现代光学仪器国家重点实验室，中国杭州市，310027
2浙江大学宁波研究院，中国宁波市，315100
3山西大学极端光学协同创新中心，中国太原市，030006
摘要：随着计算机科学的发展，越来越多硬件功能可通过软件编程实现，使得光学仪器更加紧凑、廉价，光学设计和加工也更加方便、快速。近年来，软件算法被引入光谱检测，发展出一些计算型的光谱仪、光谱成像设备等光谱信息采集系统。通过与传统非计算方法比较，本文突出了计算光谱采集的优势。重点关注紧凑性特征，回顾最具代表性的计算光谱信息采集系统，并作讨论和展望。
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Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/FITEE.1900266
CLC number:
O433.1
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On-line Access:
2020-08-10
Received:
2019-05-27
Revision Accepted:
2019-08-12
Crosschecked:
2020-03-24