基于Bior小波变换和中值滤波的图像去噪

中值滤波是一种常用的滤波方法,它可以较好地滤除脉冲噪声,但滤除高斯噪声效果不理想,而小波变换可以较好地滤除高斯噪声。本文将Biorthogonal小波变换与中值滤波相结合,同时滤除图像中的高斯噪声和脉冲噪声。实验结果表明,该方法在降低了图像噪声的同时又尽可能地保留图像的细节,其去噪效果优于单纯的小波变换或单纯的中值滤波。

Image-denoising based on Bior Wavelet Transform and Median Filter

The median filter is a common filter, which could fairly filter out the impulse noise, while it is not so ideal for Gauss noise. At the meanwhile wavelet transform could remove Gauss noise efficiently. In this paper, in combination of biorthogonal wavelet transform with median filtering, an efficient image-denoising method is proposed. Experiment shows that the noise of the image is removed effectively while the details of the image are kept well. The method has a better denoising effect than single wavelet tbresholding method or median filtering method.