文件名称:Image_denoising_with_wavelet
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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.
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.
相关搜索: denoising
Wavelet Transform
Image Denoisin
artifact
translation invariance
image wavelet transform
wavelet reconstruction
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Image_denoising_with_wavelet.doc
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