Arguello Henry, Rueda Hoover, Wu Yuehao, Prather Dennis W, Arce Gonzalo R
Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware 19716, USA.
Appl Opt. 2013 Apr 1;52(10):D12-21. doi: 10.1364/AO.52.000D12.
Coded aperture snapshot spectral imaging systems (CASSI) sense the three-dimensional spatio-spectral information of a scene using a single two-dimensional focal plane array snapshot. The compressive CASSI measurements are often modeled as the summation of coded and shifted versions of the spectral voxels of the underlying scene. This coarse approximation of the analog CASSI sensing phenomena is then compensated by calibration preprocessing prior to signal reconstruction. This paper develops a higher-order precision model for the optical sensing in CASSI that includes a more accurate discretization of the underlying signals, leading to image reconstructions less dependent on calibration. Further, the higher-order model results in improved image quality reconstruction of the underlying scene than that achieved by the traditional model. The proposed higher precision computational model is also more suitable for reconfigurable multiframe CASSI systems where multiple coded apertures are used sequentially to capture the hyperspectral scene. Several simulations and experimental measurements demonstrate the benefits of the discretization model.
编码孔径快照光谱成像系统（CASSI）使用单个二维焦平面阵列快照来感知场景的三维空间光谱信息。压缩CASSI测量通常被建模为基础场景光谱体素的编码和移位版本的总和。然后，在信号重建之前，通过校准预处理来补偿这种对模拟CASSI传感现象的粗略近似。本文为CASSI中的光学传感开发了一种高阶精度模型，该模型包括对基础信号更精确的离散化，从而使图像重建对校准的依赖性降低。此外，与传统模型相比，高阶模型在基础场景的图像质量重建方面有了改进。所提出的更高精度计算模型也更适合于可重构多帧CASSI系统，在该系统中，多个编码孔径被顺序使用以捕获高光谱场景。一些模拟和实验测量证明了离散化模型的优点。
