Sampling for Snapshot Compressive Imaging
In this study, we compare interlaced and multiscale sampling of smooth manifolds for snapshot compressive imaging. With a particular focus on spectral, spatial, and temporal focal photographic imaging systems, we show that structured transformer networks enable the efficient integration of multiscal...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
|
| Series: | Intelligent Computing |
| Online Access: | https://spj.science.org/doi/10.34133/icomputing.0038 |
| _version_ | 1797742255583264768 |
|---|---|
| author | Minghao Hu Zongliang Wu Qian Huang Xin Yuan David Brady |
| author_facet | Minghao Hu Zongliang Wu Qian Huang Xin Yuan David Brady |
| author_sort | Minghao Hu |
| collection | DOAJ |
| description | In this study, we compare interlaced and multiscale sampling of smooth manifolds for snapshot compressive imaging. With a particular focus on spectral, spatial, and temporal focal photographic imaging systems, we show that structured transformer networks enable the efficient integration of multiscale manifolds. In the applications considered here, transformer networks enable simpler and more target-specific sampling strategies for compressive tomography. |
| first_indexed | 2024-03-12T14:38:20Z |
| format | Article |
| id | doaj.art-913144bab78c4e4493fde00a9ca180a9 |
| institution | Directory Open Access Journal |
| issn | 2771-5892 |
| language | English |
| last_indexed | 2024-03-12T14:38:20Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Intelligent Computing |
| spelling | doaj.art-913144bab78c4e4493fde00a9ca180a92023-08-16T23:55:16ZengAmerican Association for the Advancement of Science (AAAS)Intelligent Computing2771-58922023-01-01210.34133/icomputing.0038Sampling for Snapshot Compressive ImagingMinghao Hu0Zongliang Wu1Qian Huang2Xin Yuan3David Brady4Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, USA.School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, USA.School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, USA.In this study, we compare interlaced and multiscale sampling of smooth manifolds for snapshot compressive imaging. With a particular focus on spectral, spatial, and temporal focal photographic imaging systems, we show that structured transformer networks enable the efficient integration of multiscale manifolds. In the applications considered here, transformer networks enable simpler and more target-specific sampling strategies for compressive tomography.https://spj.science.org/doi/10.34133/icomputing.0038 |
| spellingShingle | Minghao Hu Zongliang Wu Qian Huang Xin Yuan David Brady Sampling for Snapshot Compressive Imaging Intelligent Computing |
| title | Sampling for Snapshot Compressive Imaging |
| title_full | Sampling for Snapshot Compressive Imaging |
| title_fullStr | Sampling for Snapshot Compressive Imaging |
| title_full_unstemmed | Sampling for Snapshot Compressive Imaging |
| title_short | Sampling for Snapshot Compressive Imaging |
| title_sort | sampling for snapshot compressive imaging |
| url | https://spj.science.org/doi/10.34133/icomputing.0038 |
| work_keys_str_mv | AT minghaohu samplingforsnapshotcompressiveimaging AT zongliangwu samplingforsnapshotcompressiveimaging AT qianhuang samplingforsnapshotcompressiveimaging AT xinyuan samplingforsnapshotcompressiveimaging AT davidbrady samplingforsnapshotcompressiveimaging |