80 citations · 133 across the 4 of their papers we have counts for
4 papers
Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles
Ziyan Chen, Zhentao Liu, Jianrong Wu +1
Ghost imaging via sparsity constraints (GISC) spectral camera modulates the three-dimensional (3D) hyperspectral image into a two-dimensional (2D) compressive image with speckles i…
Hyperspectral image reconstruction for spectral camera based on ghost imaging via sparsity constraints using V-DUnet
Ziyan Chen, Zhentao Liu, Chenyu Hu +6
Spectral camera based on ghost imaging via sparsity constraints (GISC spectral camera) obtains three-dimensional (3D) hyperspectral information with two-dimensional (2D) compressiv…
Ghost imaging LiDAR via sparsity constraints using push-broom scanning
Shuang Ma, Zhentao Liu, Chenglong Wang +7
Ghost imaging LiDAR via sparsity constraints using push-broom scanning is proposed. It can image the stationary target scene continuously along the scanning direction by taking adv…
Spectral Camera based on Ghost Imaging via Sparsity Constraints
Zhentao Liu, Shiyu Tan, Jianrong Wu +3
The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of imag…