紧凑型计算光谱信息采集系统综述

宋洪亚; 张文屹; 李海峰; 刘旭; 郝翔

doi:10.1631/FITEE.1900266

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紧凑型计算光谱信息采集系统综述

常规文章 | Updated：2022-05-19

- 紧凑型计算光谱信息采集系统综述
- Review of compact computational spectral information acquisition systems
- 信息与电子工程前沿（英文） 2020年21卷第8期页码：1119-1133
- Affiliations：
  
  State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
  Ningbo Research Institute, Zhejiang University, Ningbo 315100, China
  Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China
- Author bio：
  
  [ "", "Hongya SONG, first author of this invited paper, received his BS in electronics engineering in 2016 from Wuhan University. He is currently a PhD candidate in optical engineering at Zhejiang University. His research interests include color science, spectral imaging, and computational imaging" ]
  [ "", "Xiang HAO, corresponding author of this invited paper, is a PI of optical science and technology at Zhejiang University. He received his PhD in optical engineering in 2014 from Zhejiang University. After spending more than four years at Yale University School of Medicine as an associate research scientist, Dr. HAO returned to Zhejiang University in late 2018. He also had short visits at other leading institutes, including Janelia Research Campus of Howard Hughes Medical Institute and University of Oxford. As an optical physicist and biophysicist by training, Dr. HAO has been a long-time contributor to the development of super resolution light microscopy, spectroscopy, photolithography, and applications of these techniques to address biological questions. He is now a corresponding expert of Front Inform Technol Electron Eng. He has over 50 peer-reviewed publications and has been granted over 30 patents" ]
- Funds：
  
  Project supported by the National Key R & D Program of China (No. 2018YFA0701400), the Fundamental Research Funds for the Central Universities, China (No. 2019QNA5006), and the ZJU-Sunny Photonics Innovation Center, China (No. 2019-01)
- DOI：10.1631/FITEE.1900266
  中图分类号： O433.1
- 收稿：2019-05-27，
  
  修回：2020-;3-24，
  
  网络出版：2020-07-04，
  
  纸质出版：2020-08
- Accepted：
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宋洪亚, 张文屹, 李海峰, 等. 紧凑型计算光谱信息采集系统综述[J]. 信息与电子工程前沿（英文）, 2020,21(8):1119-1133.

Hongya SONG, Wenyi ZHANG, Haifeng LI, et al. Review of compact computational spectral information acquisition systems[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(8): 1119-1133.
宋洪亚, 张文屹, 李海峰, 等. 紧凑型计算光谱信息采集系统综述[J]. 信息与电子工程前沿（英文）, 2020,21(8):1119-1133. DOI： 10.1631/FITEE.1900266.

Hongya SONG, Wenyi ZHANG, Haifeng LI, et al. Review of compact computational spectral information acquisition systems[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(8): 1119-1133. DOI： 10.1631/FITEE.1900266.

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。

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.

关键词

Keywords

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