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

Zhu, Liren and Chen, Yujia and Liang, Jinyang and Gao, Liang and Ma, Cheng and Wang, Lihong V. (2016) Improving image quality in compressed ultrafast photography with a space- and intensity-constrained reconstruction algorithm. In: High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management. Proceedings of SPIE. No.9720. Society of Photo-Optical Instrumentation Engineers , Bellingham, WA, Art. No. 972008. ISBN 9781628419542. http://resolver.caltech.edu/CaltechAUTHORS:20180905-084458606

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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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2215017DOIArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2016 Society of Photo-Optical Instrumentation Engineers. The authors would like to thank Prof. James Ballard for reading the manuscript. This work was supported in part by National Institutes of Health grants DP1 EB016986 (NIH Director’s Pioneer Award) and R01 CA186567 (NIH Director’s Transformative Research Award).
Funders:
Funding AgencyGrant Number
NIHDP1 EB016986
NIHR01 CA186567
Subject Keywords:Ultrafast imaging, computational imaging, compressed sensing, image reconstruction
Record Number:CaltechAUTHORS:20180905-084458606
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180905-084458606
Official Citation:Liren Zhu, Liren Zhu, Yujia Chen, Yujia Chen, Jinyang Liang, Jinyang Liang, Liang Gao, Liang Gao, Cheng Ma, Cheng Ma, Lihong V. Wang, Lihong V. Wang, } "Improving image quality in compressed ultrafast photography with a space- and intensity-constrained reconstruction algorithm", Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 972008 (7 March 2016); doi: 10.1117/12.2215017; https://doi.org/10.1117/12.2215017
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:89376
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:05 Sep 2018 16:18
Last Modified:05 Sep 2018 16:18

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