Abstract

Without decreasing spatial resolution, temporal compressive imaging (TCI) can improve the temporal resolution of an imaging sensor and relax the requirement of the data readout speed in high-speed imaging. In this Letter, we describe a near-infrared TCI system that can reconstruct 500 fps videos from coded measurement frames sampled at 50 fps.

© 2019 Optical Society of America

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Supplementary Material (14)

NameDescription
» Visualization 1       The reconstructed results of video I using GMM-offline algorithm.
» Visualization 2       The reconstructed results of video I using GMM-online algorithm.
» Visualization 3       The reconstructed results of video I using GMM-wiener algorithm.
» Visualization 4       The reconstructed results of video I using TwIST-zero algorithm.
» Visualization 5       The reconstructed results of video I using TwIST-online algorithm.
» Visualization 6       The reconstructed results of video I using TwIST-wiener algorithm.
» Visualization 7       The reconstructed results of video II using GMM-offline algorithm.
» Visualization 8       The reconstructed results of video II using GMM-online algorithm.
» Visualization 9       The reconstructed results of video II using GMM-wiener algorithm.
» Visualization 10       The reconstructed results of video II using TwIST-zero algorithm.
» Visualization 11       The reconstructed results of video II using TwIST-wiener algorithm.
» Visualization 12       The reconstructed results of video II using TwIST-online algorithm.
» Visualization 13       The experimental results of Temporal compressive imaging in NIR.
» Visualization 14       The experimental results of Temporal Compressive Imaging in visible waveband.

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Figures (6)

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Equations (9)

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