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Proceedings Paper

Video compressed imaging using side information (Rising Researcher Presentation) (Conference Presentation)
Author(s): Xin Yuan; Yangyang Sun; Shuo Pang

Paper Abstract

Video compressive imaging system reconstructs high-speed image sequence from a single, coded snapshot. In this paper, we report a compressive video sensing system that captures the side information in addition to the main measurement to aid the reconstruction of high-speed scenes. The integration of the side information not only improves the quality of reconstruction, but also reduces the dependence of the reconstruction on regularization. We have implemented a system prototype, which splits the field of view of a single camera into two channels: one channel captures the coded, low-frame-rate measurement for high speed video reconstruction; the other channel captures a direct measurement without coding as the side information. A joint reconstruction model is developed to recover the high-speed videos from the two channels.

Paper Details

Date Published: 11 July 2017
PDF: 1 pages
Proc. SPIE 10222, Computational Imaging II, 102220I (11 July 2017); doi: 10.1117/12.2262568
Show Author Affiliations
Xin Yuan, Bell Labs. (United States)
Yangyang Sun, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Shuo Pang, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 10222:
Computational Imaging II
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli; Kenneth S. Kubala, Editor(s)

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