MDL and Wavelet Denoising with Soft Thresholding
We propose a soft thresholding approach to the minimum description length wavelet denoising. Our method is based on combining two-part coding with normalized maximum likelihood universal models to give a soft thresholding denoising criterion. Experiments with the
proposed MDL soft thresholding method indicate that our denoising criterion leads to fairly similar performance as with the well-known VisuShrink method.
OJANEN Janne;
HEIKKONEN Jukka;
2009-01-14
Tampere International Center for Signal Processing
JRC49470
http://sp.cs.tut.fi/WITMSE08/Proceedings/index.html,
http://sp.cs.tut.fi/WITMSE08/Proceedings/InvitedPapers/invited_Ojanen.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC49470,
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