Abstract

We present a prototype compressive video camera that encodes scene movement using a translated binary photomask in the optical path. The encoded recording can then be used to reconstruct multiple output frames from each captured image, effectively synthesizing high speed video. The use of a printed binary mask allows reconstruction at higher spatial resolutions than has been previously demonstrated. In addition, we improve upon previous work by investigating tradeoffs in mask design and reconstruction algorithm selection. We identify a mask design that consistently provides the best performance across multiple reconstruction strategies in simulation, and verify it with our prototype hardware. Finally, we compare reconstruction algorithms and identify the best choice in terms of balancing reconstruction quality and speed.

Highlights

  • The subdivision of time by motion picture cameras, the frame-rate, limits the temporal resolution of a camera system

  • Even though frame-rates above 30 Hz are widely recognized to be imperceptible to human eyes, high speed motion picture capture has long been a goal in scientific imaging and cinematography communities

  • We demonstrate a prototype compressive video camera capable of recovering 2 Mpixel videos at frame-rates in excess of 740 frames-per-second using commodity CMOS sensors

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Summary

Introduction

The subdivision of time by motion picture cameras, the frame-rate, limits the temporal resolution of a camera system. Video capture rates have increased as hardware prices have fallen, fundamental constraints still limit maximum achievable frame-rates as well as the cost and availability of high speed cameras. We use a high-resolution printed coded aperture mask placed on a fast moving translation stage to create spatio-temporal modulation. We incorporate this into a forward model used to reconstruct multiple frames of video from a single coded, captured image. Our printed masks are fabricated at very high resolutions (e.g., pixel size of 4.5⇥4.5 μm2), leading to a 1-1 mapping between the mask and the sensor Using these masks in conjunction with high-resolution, off-the-shelf CMOS sensors allows us to achieve compressive video capture with exceptionally high spatial resolution. Hardware prototype: We show results of 2 Mpixel compressive videos at 743 fps, captured using our prototype camera and outfitted with the proposed mask patterns

Related work
Forward model
Reconstruction algorithms
Mask design
Simulated performance
System design
System calibration
Results
Discussion

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