52 citations · 82 across the 6 of their papers we have counts for
6 papers
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…
Breaking Rayleigh's Criterion via Discernibility in High-Dimensional Light-Field Space with Snapshot Ghost Imaging
Zhishen Tong, Zhentao Liu, Jian Wang +2
By encoding the high-dimensional light-field imaging information into a detectable two-dimensional speckle plane, ghost imaging camera via sparsity constraints (GISC camera) can di…
Preconditioned Multiple Orthogonal Least Squares and Applications in Ghost Imaging via Sparsity Constraint
Zhishen Tong, Jian Wang, Shensheng Han
Ghost imaging via sparsity constraint (GISC) can recover objects from the intensity fluctuation of light fields even when the sampling rate is far below the Nyquist sampling rate.…
Single frame wide-field Nanoscopy based on Ghost Imaging via Sparsity Constraints (GISC Nanoscopy)
Wenwen Li, Zhishen Tong, Kang Xiao +6
The applications of present nanoscopy techniques for live cell imaging are limited by the long sampling time and low emitter density. Here we developed a new single frame wide-fiel…
Optimization of light fields in ghost imaging using dictionary learning
Chenyu Hu, Zhisheng Tong, Zhentao Liu +3
Ghost imaging (GI) is a novel imaging technique based on the second-order correlation of light fields. Due to limited number of samplings in practice, traditional GI methods often…
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…