Single-shot compressed ultrafast photography: a review
Abstract
Compressed ultrafast photography (CUP) is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames. This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot. With recent unprecedented technical developments and extensions of this methodology, it has been widely used in ultrafast optical imaging and metrology, ultrafast electron diffraction and microscopy, and information security protection. We review the basic principles of CUP, its recent advances in data acquisition and image reconstruction, its fusions with other modalities, and its unique applications in multiple research fields.
Additional Information
© 2020 The Authors. Published by SPIE and CLP under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. Received Nov. 5, 2019; accepted for publication Feb. 12, 2020; published online Feb. 28, 2020. This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 91850202, 11774094, 11727810, 11804097, and 61720106009), the Science and Technology Commission of Shanghai Municipality (Grant Nos. 19560710300 and 17ZR146900), and the China Postdoctoral Science Foundation (Grant No. 2018M641958).Attached Files
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Additional details
- Eprint ID
- 101685
- Resolver ID
- CaltechAUTHORS:20200303-152739923
- National Natural Science Foundation of China
- 91850202
- National Natural Science Foundation of China
- 11774094
- National Natural Science Foundation of China
- 11727810
- National Natural Science Foundation of China
- 11804097
- National Natural Science Foundation of China
- 61720106009
- Shanghai Municipality
- 19560710300
- Shanghai Municipality
- 17ZR146900
- China Postdoctoral Science Foundation
- 2018M641958
- Created
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2020-03-04Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field