most citedGhost imaging LiDAR via sparsity constraints using push-broom scanning

52 citations · 56 across the 3 of their papers we have counts for

collaborators

5 papers

physics.optics2020

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…

cs.IT20192 cited

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.…

physics.optics20192 cited

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…

eess.IV2019

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…

eess.IV201952 cited

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…