Hu Xuemei, Lin Xing, Yue Tao, Dai Qionghai
Opt Express. 2019 Sep 16;27(19):27088-27102. doi: 10.1364/OE.27.027088.
This paper proposes a novel multispectral video acquisition method for dynamic scenes by using the Spectral-Sweep camera. To fully utilize the redundancies of multispectral videos in the spatial, temporal and spectral dimensions, we propose a Complex Optical Flow (COF) method that could extract the spatial and spectral signal variations between adjacent spectral-sweep frames. A complex -norm constrained optimization algorithm is proposed to compute the COF maps, with which we recover the entire multispectral video by temporally propagating the captured spectral-sweep frames under the guidance of reconstructed COF maps. We demonstrate the promising accuracy of reconstructing full spatial and temporal sensor resolution multispectral videos with our method both quantitatively and qualitatively. Compared with state-of-the-art multispectral imagers, our computational multispectral imaging system can significantly reduce the hardware complexities, while achieves comparable or even better performance.
本文提出了一种利用光谱扫描相机对动态场景进行多光谱视频采集的新方法。为了充分利用多光谱视频在空间、时间和光谱维度上的冗余性，我们提出了一种复光流（COF）方法，该方法可以提取相邻光谱扫描帧之间的空间和光谱信号变化。提出了一种复 -范数约束优化算法来计算COF图，利用该算法，我们在重建的COF图的指导下，通过对捕获的光谱扫描帧进行时间传播来恢复整个多光谱视频。我们从定量和定性两方面证明了我们的方法在重建具有全空间和时间传感器分辨率的多光谱视频方面具有很高的准确性。与现有最先进的多光谱成像仪相比，我们的计算多光谱成像系统可以显著降低硬件复杂度，同时实现相当甚至更好的性能。
