Time-efficient non-degenerate ghost imaging powered by deep learning

2021 ◽  
Author(s):  
Chané Moodley ◽  
Bereneice Sephton ◽  
Valeria Rodriguez-Fajardo ◽  
Andrew Forbes
Keyword(s):  
Deep Learning ◽  
Ghost Imaging

scholarly journals Deep-learning-based ghost imaging

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Meng Lyu ◽  
Wei Wang ◽  
Hao Wang ◽  
Haichao Wang ◽  
Guowei Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ghost Imaging

High speed ghost imaging based on a heuristic algorithm and deep learning

2021 ◽  
Author(s):  
Yi-Yi Huang ◽  
Chen Ouyang ◽  
Ke Fang ◽  
Yu-Feng Dong ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Heuristic Algorithm ◽  
High Speed ◽  
Ghost Imaging

scholarly journals DeepGhost: real-time computational ghost imaging via deep learning

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Saad Rizvi ◽  
Jie Cao ◽  
Kaiyu Zhang ◽  
Qun Hao
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Ghost Imaging

Deep-learning denoising computational ghost imaging

2020 ◽  
Vol 134 ◽  
pp. 106183 ◽  
Author(s):  
Heng Wu ◽  
Ruizhou Wang ◽  
Genping Zhao ◽  
Huapan Xiao ◽  
Jian Liang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ghost Imaging

scholarly journals Ghost Imaging Based on Deep Learning

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Yuchen He ◽  
Gao Wang ◽  
Guoxiang Dong ◽  
Shitao Zhu ◽  
Hui Chen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ghost Imaging

Object identification in computational ghost imaging based on deep learning

2020 ◽  
Vol 126 (10) ◽  
Author(s):  
Jianbo Li ◽  
Mingnan Le ◽  
Jun Wang ◽  
Wei Zhang ◽  
Bin Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Object Identification ◽  
Ghost Imaging

scholarly journals Computational Ghost Imaging in Scattering Media Using Simulation-Based Deep Learning

2020 ◽  
Vol 12 (5) ◽  
pp. 1-15 ◽  
Author(s):  
Ziqi Gao ◽  
Xuemin Cheng ◽  
Ke Chen ◽  
Anqi Wang ◽  
Yao Hu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ghost Imaging ◽  
Scattering Media ◽  
Simulation Based

scholarly journals A residual-based deep learning approach for ghost imaging

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Tong Bian ◽  
Yuxuan Yi ◽  
Jiale Hu ◽  
Yin Zhang ◽  
Yide Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Approach ◽  
Ghost Imaging

scholarly journals Computational ghost imaging using deep learning

2018 ◽  
Vol 413 ◽  
pp. 147-151 ◽  
Author(s):  
Tomoyoshi Shimobaba ◽  
Yutaka Endo ◽  
Takashi Nishitsuji ◽  
Takayuki Takahashi ◽  
Yuki Nagahama ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ghost Imaging

scholarly journals Ghost Imaging with Deep Learning for Position Mapping of Weakly Scattered Light Source

2021 ◽  
Author(s):  
Yasuhiro Mizutani ◽  
Shoma Kataoka ◽  
Tsutomu Uenohara ◽  
Yasuhiro Takaya
Keyword(s):  
Deep Learning ◽  
Scattered Light ◽  
Pixel Detector ◽  
Ghost Imaging ◽  
Weak Light ◽  
Random Patterns ◽  
Single Pixel ◽  
Detection Speed

AbstractWe propose ghost imaging (GI) with deep learning to improve detection speed. GI, which uses an illumination light with random patterns and a single-pixel detector, is correlation-based and thus suitable for detecting weak light. However, its detection time is too long for practical inspection. To overcome this problem, we applied a convolutional neural network that was constructed based on a classification of the causes of ghost image degradation. A feasibility experiment showed that when using a digital mirror device projector and a photodiode, the proposed method improved the quality of ghost images.

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