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Proceedings Paper

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

Paper Details

Date Published: 7 March 2016
PDF: 7 pages
Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 972008 (7 March 2016); doi: 10.1117/12.2215017
Show Author Affiliations
Liren Zhu, Washington Univ. in St. Louis (United States)
Yujia Chen, Washington Univ. in St. Louis (United States)
Jinyang Liang, Washington Univ. in St. Louis (United States)
Liang Gao, Univ. of Illinois at Urbana-Champaign (United States)
Cheng Ma, Washington Univ. in St. Louis (United States)
Lihong V. Wang, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 9720:
High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management
Kevin K. Tsia; Keisuke Goda, Editor(s)

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