The movement of targets often lead to a noticeable motion blur in the local part of an image. Traditional methods mainly based on separating the blur part and performing Fourier transform are often affected by window effect due to the deviation of edge segmentation in the case of complex background and edge occlusion. Rather than applying a more sophisticated edge extraction algorithm, this paper presents a simple method which can guarantee the accuracy of PSF extraction and reduce the precision requirements in edge segmentation. The proposed method is based on Wigner distribution of image and can reduce the impact of local sampling and processing. With this method, the requirement of sampling interval can be reduced from the whole targets to the size of motion pixels. Besides, the application of Wigner distribution in Light Field can make it possible in the application of computational optical imaging.

目标的移动通常会导致图像局部部分出现明显的运动模糊。传统的主要基于分离模糊部分并进行傅立叶变换的方法，在复杂背景和边缘遮挡的情况下，由于边缘分割的偏差，往往会受到窗口效应的影响。本文没有应用更复杂的边缘提取算法，而是提出了一种简单的方法，可以保证 PSF 提取的准确性并降低边缘分割的精度要求。所提出的方法基于图像的Wigner分布，可以减少局部采样和处理的影响。通过这种方法，采样间隔的要求可以从整个目标减少到运动像素的大小。除了，