在运动图像复原中，建立图像退化模型的关键是找到准确的点扩展函数(PSF)。提出了一种基于单幅图像的、改进的任意方向匀速直线运动模糊PSF的估计方法。利用基于图像频谱亮线灰度特征的方向鉴别方法鉴别模糊图像的模糊方向，利用微分自相关的方法对模糊图像的模糊尺寸进行计算，通过计算模糊图像沿二维直线运动方向不同距离的重叠度，来计算得到相应的PSF。通过开展仿真分析和成像实验，演示了PSF估计和图像复原过程。通过采用图像质量评价函数，将图像复原结果与现有算法进行对比，验证了所提出方法的有效性。

The accurate estimation of point spread function (PSF) is the key to the image degradation model in motion blurred image restoration. An algorithm to calculate the PSF of blurring caused by uniform linear motion in arbitrary direction is presented. By computing the extent of superposition between neighboring pixels along the motion direction, the two-dimensional PSF is estimated and then used in image deconvolution to remove the motion blur. We implemented both computer simulation and imaging experiments to demonstrate the proposed approach. The image restoration performance is evaluated by comparing our method with existing algorithms via image quality metric functions.