Horisaki Ryoichi, Tanida Jun
Opt Express. 2015 Apr 20;23(8):9696-704. doi: 10.1364/OE.23.009696.
We propose a generalized framework for quantitatively acquiring multidimensional complex objects based on single-shot phase imaging with a coded aperture (SPICA). In multidimensional SPICA, a propagating field from a multidimensional complex object is sieved by a coded aperture, the sieved field is modulated by an optical element, which is called coding optics, and then the resultant field is captured by a monochrome image sensor. The original complex field is reconstructed from the single captured intensity image by a phase retrieval algorithm with a support constraint of the coded aperture and a sparsity-based reconstruction algorithm based on compressive sensing. We also present theoretical conditions for the proposed method. As a demonstration, we numerically verified an application of this generalized framework for single-shot acquisition of depth-variant multispectral objects.
我们提出了一种基于带编码孔径的单次相位成像（SPICA）定量获取多维复杂物体的通用框架。在多维SPICA中，来自多维复杂物体的传播场由编码孔径进行筛选，筛选后的场由一个称为编码光学器件的光学元件进行调制，然后所得场由单色图像传感器捕获。通过具有编码孔径支持约束的相位检索算法和基于压缩感知的基于稀疏性的重建算法，从单个捕获的强度图像中重建原始复场。我们还给出了该方法的理论条件。作为一个演示，我们通过数值验证了这个通用框架在单次获取深度可变多光谱物体方面的应用。
