1、 I 摘 要 景物成像过程中可能会出现模糊、失真或混入噪声，最终导致图像质量下降。这种质量的下降会造成图像中的目标很难识别或者图像中的特征无法提取，必须对其进行恢复 ,维纳滤波是一种常见的图像复原方法。本设计主要对维纳滤波的基本原理进行研究，并结合 MATLAB 中的函数，设计相应的维纳滤波器，对运动模糊图像和它的加噪图像进行复原。之后，对逆滤波和维纳滤波进行图像复原仿真实验，并对比它们的复原效果。 关键词 ：维纳滤波；图像恢复；退化模型 II Abstract Imaging features may appear blurred, distorted or mixed with noise
2、 in the process of scene imaging. As a consequence, quality of images is lowered,which in digital images is likely to make it difficult to identify the target image or to extract the image features, images must be restored, then. Wiener filter is a common method for image restoration.This paper main
3、ly introduces the basic principles of Wiener filtering, and function of MATLAB are combined to design the corresponding Wiener filter to restore motion-blur images. And noise restoration are also taken into account in the design.Finally, the inverse filter and Wiener filter for image restoration simulation experiment be taken, and compared the differences between them. Keywords: Wiener filter； image restoration； degraded image
