由于无人机在航拍时会受到相对运动、姿态变化、光学环境、机械振动等因素的影响，导致所拍图像退化。本文使用MATLAB对无人机航拍图像退化过程进行了仿真实验，根据图像退化的原因建立相应的图像退化模型，把清晰的原图像进行退化处理,然后将模拟出来的退化图像分别使用维纳滤波、约束最小二乘（正则）滤波、Lucy-Richardson迭代非线性和盲解卷积4种不同的复原算法进行恢复，达到复原模糊图像的目的。(The application of UAV aerial photography became more and more widely. As the UAV in the aerial photography would be subject to relative movement, posture changes, optical environment, mechanical vibration and other factors which had resulted in the image degradation. In this paper, I used MATLAB to simulate the degradation process of UAV aerial image. According to the reason of image degradation, I established the corresponding image degradation model and the original image was degraded. Then simulated degraded images respectively used the wiener filter, constrained least squares (regular) filtering, Lucy - Richardson iterative nonlinear and blind convolution four different restoration algorithms for recovery, achieved the goal of restoring blurred image.)