Search Results for author:
Found 3 papers, 0 papers with code
Ghost Imaging Based on Recurrent Neural Network
The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0. 38$\%$).
Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
Ghost imaging (GI) has been paid attention gradually because of its lens-less imaging capability, turbulence-free imaging and high detection sensitivity.
Imaging around corners with single-pixel detector by computational ghost imaging
We have designed a single-pixel camera with imaging around corners based on computational ghost imaging.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
