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    Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models

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    Author
    Sankaranarayanan, Aswin C.; Xu, Lina; Studer, Christoph; Li, Yun; Kelly, Kevin F.; More... Baraniuk, Richard G. Less...
    Date
    2015
    Abstract
    Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded projections using a spatial light modulator (e.g., a digital micromirror device) and a few optical sensors. This approach finds use in imaging applications where full-frame sensors are either too expensive (e.g., for short-wave infrared wavelengths) or unavailable. Existing SMC systems reconstruct static scenes using techniques from compressive sensing (CS). For videos, however, existing acquisition and recovery methods deliver poor quality. In this paper, we propose the CS multiscale video (CS-MUVI) sensing and recovery framework for high-quality video acquisition and recovery using SMCs. Our framework features novel sensing matrices that enable the efficient computation of a low-resolution video preview, while enabling high-resolution video recovery using convex optimization. To further improve the quality of the reconstructed videos, we extract optical-flow estimates from the low-resolution previews and impose them as constraints in the recovery procedure. We demonstrate the efficacy of our CS-MUVI framework for a host of synthetic and real measured SMC video data, and we show that high-quality videos can be recovered at roughly $60\times$ compression.
    Citation
    Sankaranarayanan, Aswin C., Xu, Lina, Studer, Christoph, et al.. "Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models." SIAM Journal on Imaging Sciences, 8, no. 3 (2015) SIAM: 1489-1518. http://dx.doi.org/10.1137/140983124.
    Published Version
    http://dx.doi.org/10.1137/140983124
    Keyword
    video compressive sensing; optical flow; measurement matrix design; spatial multiplexing cameras
    Type
    Journal article
    Publisher
    SIAM
    Citable link to this page
    https://hdl.handle.net/1911/94225
    Rights
    Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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    • ECE Publications [1443]
    • Faculty Publications [4990]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map