2013年4月19日星期五

Signal and Image Processing with Wavelets

https://www.ceremade.dauphine.fr/~peyre/teaching/wavelets/

The main reference for an indepth explanation of Wavelet processing is

Stéphane Mallat, Academic Press; 2 edition (September 15, 1999)

Each one of these five lectures should take between 1h and 2h in order to test the various features of the scripts. One should copy/paste the provided code into a file named e.g. tp1.m, and launch the script directly from Matlab comand line > tp1;. Some of the scripts contain "holes" that you should try to fill on your own.

I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
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Basic Matlab instructions.
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Linear and non-linear wavelet approximation of signals.
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Linear and non-linear wavelet approximation of images.
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Denoising using filtering.
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Denoising using wavelet thresholding.
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Wavelet compression of 1D signals.
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Image Compression.