@inproceedings{e38992e55c1545fb9303a7942097467c,
title = "Improving image quality in compressed ultrafast photography with a space-and intensity-constrained reconstruction algorithm",
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.",
keywords = "Ultrafast imaging, compressed sensing, computational imaging, image reconstruction",
author = "Liren Zhu and Yujia Chen and Jinyang Liang and Liang Gao and Cheng Ma and Wang, {Lihong V.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management ; Conference date: 13-02-2016 Through 14-02-2016",
year = "2016",
month = jul,
day = "18",
doi = "10.1117/12.2215017",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Keisuke Goda and Tsia, {Kevin K.}",
booktitle = "High-Speed Biomedical Imaging and Spectroscopy",
}