Horisaki Ryoichi, Kojima Taichi, Matsushima Kyoji, Tanida Jun
Appl Opt. 2017 Sep 20;56(27):7642-7647. doi: 10.1364/AO.56.007642.
We present an algorithm for reconstructing an object complex field with resolution below that of an image sensor (subpixel resolution) in single-shot diffractive imaging with coded diffraction. The algorithm employs subpixel phase retrieval and sparse regularization based on compressive sensing. This is useful for high-speed or high-sensitivity imaging using an image sensor with a low pixel count and/or a large pixel size. We experimentally demonstrated the proposed method with two types of moving objects.
我们提出了一种算法，用于在单次编码衍射成像中，以低于图像传感器分辨率（亚像素分辨率）重建物体复场。该算法采用基于压缩感知的亚像素相位恢复和稀疏正则化。这对于使用低像素数和/或大像素尺寸的图像传感器进行高速或高灵敏度成像很有用。我们通过两种类型的移动物体对所提出的方法进行了实验验证。
