Published November 2018 | Version public
Journal Article

Compressed ultrafast photography by multi-encoding imaging

  • 1. ROR icon East China Normal University
  • 2. ROR icon Institut National de la Recherche Scientifique
  • 3. ROR icon Xian Institute of Optics and Precision Mechanics
  • 4. ROR icon Shanghai Institute of Optics and Fine Mechanics
  • 5. ROR icon University of Illinois Urbana-Champaign
  • 6. ROR icon Shanxi University
  • 7. ROR icon California Institute of Technology

Abstract

Imaging ultrafast dynamic scenes has been long pursued by scientists. As a two-dimensional dynamic imaging technique, compressed ultrafast photography (CUP) provides the fastest receive-only camera to capture transient events. This technique is based on three-dimensional image reconstruction by combining streak imaging with compressed sensing (CS). However, the image quality and the frame rate of CUP are limited by the CS-based image reconstruction algorithms and the inherent temporal and spatial resolutions of the streak camera. Here, we report a new method to improve the temporal and spatial resolutions of CUP. Our numerical simulation and experimental verification show that by using a multi-encoding imaging method, both the image quality and the frame rate of CUP can be significantly improved beyond the intrinsic technical parameters. Importantly, the temporal resolution by our scheme can break the limitation of the streak camera. Therefore, this new technology has potential benefits in many applications that require the ultrafast dynamic scene image with high temporal and spatial resolutions.

Additional Information

© 2018 Astro Ltd. Received 5 July 2018. Accepted 31 August 2018. Published 3 October 2018.

Additional details

Identifiers

Eprint ID
90093
Resolver ID
CaltechAUTHORS:20181003-105017264

Dates

Created
2018-10-05
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field