Add to BibSonomyAbstract
We design a compressive hyperspectral imaging system by end-to-end optimization of a metalens and image-reconstruction neural network. Our system shows superior spectral-spatial image quality to systems using a standard metalens and neural network.
© 2022 The Author(s)
PDF Article | Presentation VideoMore Like This
Lensless imaging based on compressive sensing and deep learning
Jiachen Wu, Yuchen Ma, and Liangcai Cao
OThP4B_01 International Conference on Optics-Photonics Design and Fabrication (ODF) 2022
End-to-end Nanophotonics Inverse Design for Computational Imaging
Zin Lin, Gaurav Arya, William F. Li, Charles Roques-Carmes, Raphaël Pestourie, Zhaoyi Li, Federico Capasso, Marin Soljačić, and Steven G. Johnson
JW5Q.1 CLEO: Applications and Technology (CLEO:A&T) 2022
Probabilistic Regularization for End-to-End Optimization in Compressive Imaging
Roman Jacome, Alejandra Hernandez-Rojas, and Henry Arguello
CW1B.1 Computational Optical Sensing and Imaging (COSI) 2022