Yuan Xin, Sun Yangyang, Pang Shuo
Appl Opt. 2017 Apr 1;56(10):2697-2704. doi: 10.1364/AO.56.002697.
Our temporally compressive imaging system reconstructs a high-speed image sequence from a single, coded snapshot. The reconstruction quality, similar to that of other compressive sensing systems, often depends on the structure of the measurement, as well as the choice of regularization. In this paper, we report a compressive video system that also captures the side information to aid in 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 that 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, and 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. By analyzing both the experimental and the simulation results, the reconstructions with side information have demonstrated superior performances in terms of both the peak signal-to-noise ratio and structural similarity.
我们的时间压缩成像系统从单个编码快照重建高速图像序列。与其他压缩感知系统类似，重建质量通常取决于测量结构以及正则化的选择。在本文中，我们报告了一种压缩视频系统，该系统还捕获辅助信息以帮助重建高速场景。辅助信息的整合不仅提高了重建质量，还降低了重建对正则化的依赖。我们实现了一个系统原型，将单个相机的视场分为两个通道：一个通道捕获用于高速视频重建的编码低帧率测量，另一个通道捕获无编码的直接测量作为辅助信息。开发了一种联合重建模型以从这两个通道恢复高速视频。通过分析实验和模拟结果，具有辅助信息的重建在峰值信噪比和结构相似性方面均表现出卓越的性能。
