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用于消除光学像差的重叠傅里叶编码。

Overlapped Fourier coding for optical aberration removal.

作者信息

Horstmeyer Roarke, Ou Xiaoze, Chung Jaebum, Zheng Guoan, Yang Changhuei

出版信息

Opt Express. 2014 Oct 6;22(20):24062-80. doi: 10.1364/OE.22.024062.

Abstract

We present an imaging procedure that simultaneously optimizes a camera's resolution and retrieves a sample's phase over a sequence of snapshots. The technique, termed overlapped Fourier coding (OFC), first digitally pans a small aperture across a camera's pupil plane with a spatial light modulator. At each aperture location, a unique image is acquired. The OFC algorithm then fuses these low-resolution images into a full-resolution estimate of the complex optical field incident upon the detector. Simultaneously, the algorithm utilizes redundancies within the acquired dataset to computationally estimate and remove unknown optical aberrations and system misalignments via simulated annealing. The result is an imaging system that can computationally overcome its optical imperfections to offer enhanced resolution, at the expense of taking multiple snapshots over time.

摘要

我们提出了一种成像程序,该程序可在一系列快照中同时优化相机分辨率并获取样本的相位。该技术称为重叠傅里叶编码(OFC),首先使用空间光调制器在相机的光瞳平面上对一个小孔径进行数字平移。在每个孔径位置,获取一幅独特的图像。然后,OFC算法将这些低分辨率图像融合成探测器上入射复光场的全分辨率估计值。同时,该算法利用采集数据集中的冗余信息,通过模拟退火计算估计并消除未知的光学像差和系统失准。结果是一个成像系统,它可以通过计算克服其光学缺陷以提供更高的分辨率,但代价是需要随时间拍摄多个快照。

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