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.

Date Published: 11 July 2017
PDF: 1 pages
Proc. SPIE 10222, Computational Imaging II, 102220I (11 July 2017); doi: 10.1117/12.2262568

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