Image-Denoising Based on Bior Wavelet Transform and Median Filter

The median filter is a common filter, which can get a good result with impulse noise, but it can't work well with Gauss noise. At the meanwhile wavelet transform can remove Gauss noise efficiently. In this paper combined with Biorthogonal wavelet transform and median filtering, an efficient image-denoising method was presented. Experiment result shows that the noise of the image is removed effectively. At the same time, the detail of the image is kept well. The method has better denoising effect than single wavelet thresholding method or median filtering method.