Improving image quality in compressed ultrafast photography with a space-and intensity-constrained reconstruction algorithm

Liren Zhu, Yujia Chen, Jinyang Liang, Liang Gao, Cheng Ma, Lihong V. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The single-shot compressed ultrafast photography (CUP) camera is the fastest receive-only camera in the world. In this work, we introduce an external CCD camera and a space-and intensity-constrained (SIC) reconstruction algorithm to improve the image quality of CUP. The CCD camera takes a time-unsheared image of the dynamic scene. Unlike the previously used unconstrained algorithm, the proposed algorithm incorporates both spatial and intensity constraints, based on the additional prior information provided by the external CCD camera. First, a spatial mask is extracted from the time-unsheared image to define the zone of action. Second, an intensity threshold constraint is determined based on the similarity between the temporally projected image of the reconstructed datacube and the time-unsheared image taken by the external CCD. Both simulation and experimental studies showed that the SIC reconstruction improves the spatial resolution, contrast, and general quality of the reconstructed image.

Original languageEnglish (US)
Title of host publicationHigh-Speed Biomedical Imaging and Spectroscopy
Subtitle of host publicationToward Big Data Instrumentation and Management
EditorsKeisuke Goda, Kevin K. Tsia
PublisherSPIE
ISBN (Electronic)9781628419542
DOIs
StatePublished - Jul 18 2016
EventHigh-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management - San Francisco, United States
Duration: Feb 13 2016Feb 14 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9720
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherHigh-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management
CountryUnited States
CitySan Francisco
Period2/13/162/14/16

Keywords

  • Ultrafast imaging
  • compressed sensing
  • computational imaging
  • image reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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