Abstract: Combined with wavelet transform and Mean Shift filtering，an efficient image filtering method is presented.Firstly，noised image is decomposed to multi-resolution sub-band images by Mallat pyramid decomposition.High frequency sub-band images are denoised by Mean Shift filter，without any changes to the low frequency approximation image.Denoised-image is obtained by composing the high frequency detail images with Mean Shift filtering and low frequency approximation image.However，Mean Shift is an iteration scheme.It wastes more time to calculate and needs more iteration to ensure higher numerical accuracy.In order to overcome its disadvantage，Gauss function is calculated approximately by Fourier series.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 traditional Gauss filtering method，Wiener filtering method，single wavelet thresholding method and Mean Shift filtering method.