Denoising by learning wavelet soft thresholds

Backpropagation to find soft shrinkage thresholds in pytorch

Denoising by learning wavelet soft thresholds

Backpropagation to find soft shrinkage thresholds in pytorch

In this notebook I look at doing soft shrinkage as introduced by Donoho and Johnstone in 1994. I then see if it is possible to learn the soft shrinkage thresholds with backpropagation rather than using Bayes risk.

Check it out here.

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