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-...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/5/1334 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850052692719697920 |
|---|---|
| author | Xiaowen Hao Dingaoyu Zhao Jun Ke |
| author_facet | Xiaowen Hao Dingaoyu Zhao Jun Ke |
| author_sort | Xiaowen Hao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8ece4dc99fe146e09df98d98b0e82241 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-8ece4dc99fe146e09df98d98b0e822412025-08-20T02:52:45ZengMDPI AGSensors1424-82202025-02-01255133410.3390/s25051334Multiple CR Spatiotemporal Compressive Imaging SystemXiaowen Hao0Dingaoyu Zhao1Jun Ke2School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaHigher 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.https://www.mdpi.com/1424-8220/25/5/1334high-speed high-resolution imagingspatiotemporal compressive imagingcomputational imaging |
| spellingShingle | Xiaowen Hao Dingaoyu Zhao Jun Ke Multiple CR Spatiotemporal Compressive Imaging System Sensors high-speed high-resolution imaging spatiotemporal compressive imaging computational imaging |
| title | Multiple CR Spatiotemporal Compressive Imaging System |
| title_full | Multiple CR Spatiotemporal Compressive Imaging System |
| title_fullStr | Multiple CR Spatiotemporal Compressive Imaging System |
| title_full_unstemmed | Multiple CR Spatiotemporal Compressive Imaging System |
| title_short | Multiple CR Spatiotemporal Compressive Imaging System |
| title_sort | multiple cr spatiotemporal compressive imaging system |
| topic | high-speed high-resolution imaging spatiotemporal compressive imaging computational imaging |
| url | https://www.mdpi.com/1424-8220/25/5/1334 |
| work_keys_str_mv | AT xiaowenhao multiplecrspatiotemporalcompressiveimagingsystem AT dingaoyuzhao multiplecrspatiotemporalcompressiveimagingsystem AT junke multiplecrspatiotemporalcompressiveimagingsystem |