Image_denoising_with_wavelet

代码说明：

  Image denoising with wavelet We first load an image, and add some noise to it The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact in the previous denoising experiments. Translation invariant wavelet transform reduces these effect by increasing the redundancy of the wavelet transform. It thus requires more time to perform the denoising.