Spectral imaging with deep learning
State Key Laboratory of Modern Optical Instruments · Zhejiang University · +3 more institutions
Abstract
The goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large scenes. In contrast, computational spectral imaging methods have resorted to computation power for reduced system volume, but still endure long computation time for iterative spectral reconstructions. Recently, deep learning techniques are introduced into computational spectral imaging, witnessing fast reconstruction speed, great reconstruction quality, and the potential to drastically reduce the system volume. In this article, we review state-of-the-art deep-learning-empowered computational spectral imaging…
Citation impact
- FWCI
- 19.04
- Percentile
- 100%
- References
- 106
Authors
4- LHLongqian Huang
State Key Laboratory of Modern Optical Instruments, Zhejiang University
- RLRuichen Luo
Zhejiang University of Science and Technology
- XLXü Liu
State Key Laboratory of Modern Optical Instruments, Zhejiang University
- XHXiang HaoCorresponding
Jiaxing University, Zhejiang University of Technology
Topics & keywords
- Spectral imaging
- Computer science
- Computation
- Artificial intelligence
- Imaging science
- Computer vision
- Encoding (memory)
- Spectral signature