Programmable spatially variant single-pixel imaging based on compressive sensing
Author:
Affiliation:
1. Universiti Tunku Abdul Rahman, Lee Kong Chian Faculty of Engineering and Science, Selangor
2. Monash University Malaysia, School of Engineering, Selangor
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Cited by 6 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. Self-adaptive sampling for Fourier single-pixel imaging using probability estimation;Journal of Electronic Imaging;2024-04-10
2. Foveated panoramic ghost imaging;Optics Express;2023-04-05
3. Adaptive Coarse-to-Fine Single Pixel Imaging With Generative Adversarial Network Based Reconstruction;IEEE Access;2023
4. On-the-fly compressive single-pixel foveation using the STOne transform;Optics Express;2022-05-18
5. Deep Learning Based Single Pixel Imaging Using Coarse-to-fine Sampling;2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA);2022-05-12
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