对噪声污染的图象进行复原处理时 ,传统的去噪声方法会造成图象模糊。本文用双正交小波变换去除图象噪声 ,从结果看利用双正交小波变换进行多分辨率低通滤波在去除噪声的同时造成的模糊比传统低通滤波器少 When a noise-contaminated image is restored, the conventional de-noising method causes the image to be blurred. In this paper, the biorthogonal wavelet transform is used to remove the image noise. From the result, it can be seen that using the biorthogonal wavelet transform to make multi-resolution low-pass filtering can remove the noise and blur more than the traditional low-pass filter