Abstract

We build a compressive imaging system that can reconstruct high-speed videos of two fields-of-view by capturing a single frame. A single digital micromirror device is employed to implement high-speed modulation simultaneously on both scenes in a manner that does not compromise spatial resolution. We utilize deep denoising priors in the plug-and-play framework for efficient reconstruction. Two spatial–temporal data cubes, each with the size $ 650 \times 650 \times 20 $, are reconstructed from a single two-dimensional spatial measurement.

© 2020 Optical Society of America

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Supplementary Material (4)

NameDescription
» Visualization 1       Comparison of conventional compressive sensing algorithm (GAP-TV) with proposed PnP-TV-FFDNet.
» Visualization 2       SSTCI of water balloons colliding and flying letters. The two scenes are compressively captured at 50 fps with 650 × 650 image size. Two 650 ×650 ×10 videos are reconstructed from a snapshot measurement.
» Visualization 3       SSTCI of 5 pendulum ball and 4 falling dominoes. The two scenes are compressively captured at 50fps, but this time two 650 × 650 × 20 videos are reconstructed from snapshot measurement.
» Visualization 4       SSTCI of water balloon popping and falling Ping-Pong balls. Two 650 × 650 × 10 videos are reconstructed from a snapshot measurement.

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