Bian Liheng, Suo Jinli, Situ Guohai, Zheng Guoan, Chen Feng, Dai Qionghai
Opt Lett. 2014 Dec 1;39(23):6648-51. doi: 10.1364/OL.39.006648.
Fourier ptychography (FP) is a recently reported technique, for large field-of-view and high-resolution imaging. Specifically, FP captures a set of low-resolution images, under angularly varying illuminations, and stitches them together in the Fourier domain. One of FP's main disadvantages is its long capturing process, due to the requisite large number of incident illumination angles. In this Letter, utilizing the sparsity of natural images in the Fourier domain, we propose a highly efficient method, termed adaptive Fourier ptychography (AFP), which applies content adaptive illumination for FP, to capture the most informative parts of the scene's spatial spectrum. We validate the effectiveness and efficiency of the reported framework, with both simulated and real experiments. Results show that the proposed AFP could shorten the acquisition time of conventional FP, by around 30%-60%.
傅里叶叠层成像术（FP）是一种最近报道的用于大视场和高分辨率成像的技术。具体而言，FP在角度变化的照明条件下捕获一组低分辨率图像，并在傅里叶域中将它们拼接在一起。FP的主要缺点之一是其捕获过程漫长，这是由于需要大量的入射照明角度。在本信函中，利用自然图像在傅里叶域中的稀疏性，我们提出了一种高效的方法，称为自适应傅里叶叠层成像术（AFP），它为FP应用内容自适应照明，以捕获场景空间频谱中最具信息的部分。我们通过模拟实验和实际实验验证了所报道框架的有效性和效率。结果表明，所提出的AFP可以将传统FP的采集时间缩短约30%-60%。
