Hyperspectral image reconstruction for spectral camera based on ghost imaging via sparsity constraints using V-DUnet

no code implementations • 28 Jun 2022 • Ziyan Chen, Zhentao Liu, Chenyu Hu, Heng Wu, Jianrong Wu, Jinda Lin, Zhishen Tong, Hong Yu, Shensheng Han

When applying deep learning into GISC spectral camera, there are several challenges need to be solved: 1) how to deal with the large amount of 3D hyperspectral data, 2) how to reduce the influence caused by the uncertainty of the random reference measurements, 3) how to improve the reconstructed image quality as far as possible.

Compressive Sensing Image Reconstruction