基于维纳滤波的图像复原

Image Restoration Based on Wiener Filtering

在维纳滤波图像复原的基础上提出了改进后的图像复原算法,对退化图像进行一次维纳滤波方法得到原图像的估计值,然后利用该估计值构成改进的维纳滤波器,对退化图像进行二次维纳滤波。实验表明,该方法计算量小、鉴别精度高、抗噪声能力较强,提高了图像的复原质量。

The improved algorithm of image restoration is proposed which based on the image restoration by Wiener filtering.First,the Wiener filtering method is used to obtain the initial estimate of the degraded image,then,using the initial value to reconstruct the improved Wiener filter.And filter the degraded image again.The experimental results show that the method has less calculation,the advantages of high precision,and strong anti-noise capability.And the image restoration results are improved significantly compared with the results obtained by using traditional Wiener filters.