Single photon counting compressive imaging using a generative model optimized via sampling and transfer learning-Reference-Cited by-同舟云学术

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Single photon counting compressive imaging using a generative model optimized via sampling and transfer learning

Published:2021-02-05 Issue:4 Volume:29 Page:5552
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Gao Wei,Yan Qiu-Rong,Zhou Hui-Lin,Yang Sheng-Tao,Fang Zhe-Yu,Wang Yu-Hao

Funder

the Funding Scheme to Outstanding Young Talents of Jiangxi Province

National Natural Science Foundation of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference27 articles.

1. Single-pixel imaging via compressive sampling

2. Principles and prospects for single-pixel imaging

3. Single-photon detectors for optical quantum information applications

4. Sampling Time Adaptive Single-Photon Compressive Imaging

5. A single-photon detector in the far-infrared range

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative adversarial network with the discriminator using measurements as an auxiliary input for single-pixel imaging;Optics Communications;2024-06

2. 基于深度学习的单像素成像研究进展;Laser & Optoelectronics Progress;2024

3. Single photon compressive imaging with enhanced quality using an untrained neural network;Journal of the Optical Society of America A;2023-11-28

4. Sampling and Reconstruction Jointly Optimized Model Unfolding Network for Single-Pixel Imaging;Photonics;2023-02-21

5. An efficient neural network for low sampling computational ghost imaging based on EMNIST training;Journal of Modern Optics;2022-11-01

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