From Event: SPIE Commercial + Scientific Sensing and Imaging, 2017
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.
Xin Yuan, Yangyang Sun, and Shuo Pang, "Video compressed imaging using side information (Rising Researcher Presentation) (Conference Presentation)," Proc. SPIE 10222, Computational Imaging II, 102220I (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 10, 2017; Published: 11 July 2017); https://doi.org/10.1117/12.2262568.5460687097001.
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