92 citations · 139 across the 8 of their papers we have counts for
5 papers · 1 filter
Dual camera snapshot hyperspectral imaging system via physics informed learning
Hui Xie, Zhuang Zhao, Jing Han +3
We consider using the system's optical imaging process with convolutional neural networks (CNNs) to solve the snapshot hyperspectral imaging reconstruction problem, which uses a du…
Learning-based real-time method to looking through scattering medium beyond the memory effect
Enlai Guo, Shuo Zhu, Yan Sun +2
Strong scattering medium brings great difficulties to optical imaging, which is also a problem in medical imaging and many other fields. Optical memory effect makes it possible to…
Synchronous locating and imaging behind scattering medium in a large depth based on deep learning
Shuo Zhu, Enlai Guo, Qianying Cui +3
Scattering medium brings great difficulties to locate and image planar objects especially when the object has a large depth. In this letter, a novel learning-based method is presen…
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
XiaoYu Chen, Xu Wang, Lianfa Bai +2
In this paper, we present a convolution neural network based method to recover the light intensity distribution from the overlapped dispersive spectra instead of adding an extra li…
High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding
Zhuang Zhao, Lianfa Bai, Jing Han +1
We present a robust high signal-to-noise ratio (SNR) snapshot multiplex spectrometer with sub-Hadamard-S matrix coding. We demonstrated for the first time that the sub-Hadamard-S m…