We experimentally demonstrate a camera whose primary optic is a cannula/needle (
Compressed ultrafast photography (CUP) is a computational optical imaging technique that can capture transient dynamics at an unprecedented speed. Currently, the image reconstruction of CUP relies on iterative algorithms, which are time-consuming and often yield nonoptimal image quality. To solve this problem, we develop a deep-learning-based method for CUP reconstruction that substantially improves the image quality and reconstruction speed. A key innovation toward efficient deep learning reconstruction of a large three-dimensional (3D) event datacube (
- Award ID(s):
- 2053080
- NSF-PAR ID:
- 10180513
- Publisher / Repository:
- Optical Society of America
- Date Published:
- Journal Name:
- Optics Letters
- Volume:
- 45
- Issue:
- 16
- ISSN:
- 0146-9592; OPLEDP
- Page Range / eLocation ID:
- Article No. 4400
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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