Incoherent Pattern-illuminated Fourier ptychography (IFP) is a newly developed super-resolution method, where accurate prior knowledge of translation positions is essential for image reconstruction. To release this limitation, we propose a pre-processing algorithm capable of extracting translation positions of the structure light directly from raw images of IFP, termed translation position extracting (TPE). TPE mainly involves two steps. First, the speckle parts mixed in the acquired raw images, in which the illumination motion is encoded, are isolated by intensity averaging and division. Then the cross-correlations of the speckle dataset are computed to determine the shift positions. TPE-IFP improves the previous IFP by removal of the requirement for prior knowledge of translation positions. Its effectiveness is demonstrated by obtaining high-quality super-resolution images in absence of location information in both simulations and experiments. By further relaxing the practical conditions, the proposed TPE may accelerate the applications of IFP. What's more, as a pre-processing approach, TPE might also contribute to the estimation of pattern positions for the similar speckle-based imaging.

Incoherent Pattern-illuminated Fourier ptychography (IFP) 是一种新开发的超分辨率方法，其中平移位置的准确先验知识对于图像重建至关重要。为了消除这个限制，我们提出了一种预处理算法，能够直接从 IFP 的原始图像中提取结构光的平移位置，称为平移位置提取（TPE）。TPE主要包括两个步骤。首先，在获取的原始图像中混合的散斑部分，其中照明运动被编码，通过强度平均和划分被隔离。然后计算散斑数据集的互相关以确定移位位置。TPE-IFP消除了对翻译职位的先验知识的要求，从而改善了以前的IFP。通过在模拟和实验中都没有位置信息的情况下获得高质量的超分辨率图像，证明了其有效性。通过进一步放宽实际条件，提议的 TPE 可能会加速 IFP 的应用。此外，作为一种预处理方法，TPE还可能有助于估计基于斑点的相似成像的图案位置。