9 citations · 19 across the 8 of their papers we have counts for
8 papers
Integrated diffractive full-Stokes spectro-polarimetric imaging
Jingyue Ma, Zhenming Yu, Zhengyang Li +6
Spectro-polarimetric imaging provides multidimensional optical information acquisition capabilities, offering significant potential for diverse applications. Current spectro-polari…
Integrated Snapshot Near-infrared Hypersepctral Imaging Framework with Diffractive Optics
Jingyue Ma, Zhenming Yu, Zhengyang Li +3
We propose an integrated snapshot near-infrared hyperspectral imaging framework that combines designed DOE with NIRSA-Net. The results demonstrate near-infrared spectral imaging at…
Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure
Yutong Li, Zhenming Yu, Liming Cheng +7
Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including…
Spatial-enhanced Reflective Coded Aperture Snapshot Spectral Imaging
Jiayu Di, Yantao Jin, Zhenming Yu +4
Coded aperture snapshot hyperspectral imaging (CASSI) system which captures 2-D spatial information and 1-D spectral information in just one or two shots has become a promising tec…
Integration of Communication and Computational Imaging
Zhenming Yu, Liming Cheng, Hongyu Huang +3
Communication enables the expansion of human visual perception beyond the limitations of time and distance, while computational imaging overcomes the constraints of depth and bread…
Atmospheric Turbulence-Immune Free Space Optical Communication System based on Discrete-Time Analog Transmission
Hongyu Huang, Zhenming Yu, Yi Lei +4
To effectively mitigate the influence of atmospheric turbulence, a novel discrete-time analog transmission free-space optical (DTAT-FSO) communication scheme is proposed. It direct…
Semantic optical fiber communication system
Zhenming Yu, Hongyu Huang, Liming Cheng +3
The current optical communication systems minimize bit or symbol errors without considering the semantic meaning behind digital bits, thus transmitting a lot of unnecessary informa…
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
Ziyi Meng, Zhenming Yu, Kun Xu +1
We consider using {\bf\em untrained neural networks} to solve the reconstruction problem of snapshot compressive imaging (SCI), which uses a two-dimensional (2D) detector to captur…