Multiple CR Spatiotemporal Compressive Imaging System
Higher spatial and temporal resolutions are two important performance parameters in an imaging system. However, due to hardware limitations, the two resolutions are usually mutually restricted. To meet this challenge, we propose a spatiotemporal compressive imaging (STCI) system to reconstruct high-spatiotemporal-resolution images from low-resolution measurements. For STCI, we also designed a novel reconstruction network for multiple compression ratio (CR). To verify the effectiveness of our method, we implemented simulation and optical experiments, respectively. The experiment results show that our method can effectively reconstruct high-spatiotemporal-resolution target scenes for nine different CRs. With the maximum spatiotemporal CR of 128:1, our method can achieve a reconstruction accuracy of 28.28 dB.
Authors
- Dingaoyu Zhao
- Jun Ke (ORCID: https://orcid.org/0000-0001-6027-7659)
- Xiaowen Hao (ORCID: https://orcid.org/0000-0001-6211-9320)
Institutions
- Beijing Institute of Technology (CN)
- Ministry of Education of the People's Republic of China (CN)
- Science and Technology on Surface Physics and Chemistry Laboratory (CN)
Publication Details
- Journal
- Sensors
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3390/s25051334
- Primary Topic
- Sparse and Compressive Sensing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China