摘要
Imaging through thick scattering media produces a random speckle signal with wealth information, which can be restored by subsequent processing. While a moving target is hard to reconstruct by existing technology, we apply temporal Bayesian compressed sensing method to overcome this limitation. In addition, an over completed dictionary is used as a sparse base to improve the accuracy of the reconstructions. In this letter, we improve system time resolution without changing its spatial resolution and reconstruct T frame speckle images from a single temporal compressed speckle measurement.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Advanced Optical Imaging Technologies III |
| 编辑 | Xiao-Cong Yuan, P. Scott Carney, Kebin Shi |
| 出版商 | SPIE |
| ISBN（电子版） | 9781510639133 |
| DOI | |
| 出版状态 | 已出版 - 2020 |
| 活动 | Advanced Optical Imaging Technologies III 2020 - Virtual, Online, 中国 期限: 11 10月 2020 → 16 10月 2020 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 11549 |
| ISSN（印刷版） | 0277-786X |
| ISSN（电子版） | 1996-756X |
会议
| 会议 | Advanced Optical Imaging Technologies III 2020 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Virtual, Online |
| 时期 | 11/10/20 → 16/10/20 |
指纹
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Wang, Y., & Ke, J. (2020). Bayesian sparse reconstruction based on dictionary learning. 在 X.-C. Yuan, P. S. Carney, & K. Shi (编辑), Advanced Optical Imaging Technologies III 文章 115491L (Proceedings of SPIE - The International Society for Optical Engineering; 卷 11549). SPIE. https://doi.org/10.1117/12.2575180