Zhu Shuaishuai, Gao Liang, Zhang Yu, Lin Jie, Jin Peng
Opt Express. 2018 Oct 1;26(20):26495-26510. doi: 10.1364/OE.26.026495.
Multi-dimensional imaging is a powerful technique for many applications, such as biological analysis, remote sensing, and object recognition. Most existing multi-dimensional imaging systems rely on scanning or camera array, which make the system bulky and unstable. To some extent, these problems can be mitigated by employing compressed sensing algorithms. However, they are computationally expensive and highly rely on the ill-posed assumption that the information is sparse in a given domain. Here, we propose a snapshot spectral-volumetric imaging (SSVI) system by introducing the paradigm of light-field imaging into Fourier transform imaging spectroscopy. We demonstrate that SSVI can reconstruct a complete plenoptic function, P(x,y,z,θ,φ,λ,t), of the incoming light rays using a single detector. Compared with other multidimensional imagers, SSVI features prominent advantages in compactness, robustness, and low cost.
多维成像对于许多应用来说是一项强大的技术，例如生物分析、遥感和目标识别。大多数现有的多维成像系统依赖于扫描或相机阵列，这使得系统体积庞大且不稳定。在某种程度上，通过采用压缩感知算法可以缓解这些问题。然而，它们计算成本高昂，并且高度依赖信息在给定域中稀疏的不适定假设。在此，我们通过将光场成像范式引入傅里叶变换成像光谱学，提出了一种快照光谱体积成像（SSVI）系统。我们证明，SSVI可以使用单个探测器重建入射光线的完整全光函数P(x,y,z,θ,φ,λ,t)。与其他多维成像仪相比，SSVI在紧凑性、鲁棒性和低成本方面具有显著优势。
