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Proceedings Paper

Motion-adaptive compressive coded apertures
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Paper Abstract

This paper describes an adaptive compressive coded aperture imaging system for video based on motion-compensated video sparsity models. In particular, motion models based on optical flow and sparse deviations from optical flow (i.e. salient motion) can be used to (a) predict future video frames from previous compressive measurements, (b) perform reconstruction using efficient online convex programming techniques, and (c) adapt the coded aperture to yield higher reconstruction fidelity in the vicinity of this salient motion.

Paper Details

Date Published: 8 September 2011
PDF: 5 pages
Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81651C (8 September 2011); doi: 10.1117/12.892726
Show Author Affiliations
Zachary T. Harmany, Duke Univ. (United States)
Albert Oh, Duke Univ. (United States)
Roummel Marcia, Univ. of California, Merced (United States)
Rebecca Willett, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 8165:
Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems
Stanley Rogers; Jean J. Dolne; David P. Casasent; Thomas J. Karr; Victor L. Gamiz, Editor(s)

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