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ThreshLab: Matlab algorithms for wavelet
noise reduction and beyond
Version 3.2.1, released March 2012
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Wavelet transforms (1D/2D, fast/non-decimated, orthogonal/biorthogonal)
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GCV - Generalized Cross Validation, now for soft- and hard thresholding
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MRF - Markov Random Fields (geometrical prior for Bayesian image denoising)
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CVS - Conditional Variance Stabilisation for Poisson intensities
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Continuous Unbalanced Haar Transform for Change Point Detection
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Iterative soft- and hard-thresholding with step dependent thresholds for
inverse problems
Also see these test
images
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Additional software
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LiftVor
Liftvor is a matlab implementation of the routines discussed in
M. Jansen, G. Nason, and B. Silverman.
Multiscale methods for data on graphs and irregular multidimensional
situations.
Journal of the Royal Statistical Society, series B, 71(1), pages 97-125, 2009.
This software uses ThreshLab routines, so install ThreshLab first, then unzip
this file
This software is not maintained actively. The ultimate goal is (of coarse; and
obviously when time permits, i.e., after my retirement, I guess) to fully
integrate this into ThreshLab. Sorry for possible inconveniences
The file testfileLiftVor.m is a test routine which may help you
navigating through the set of files
There is also R software for this paper. The R software is not a
mere translation of the matlab version (or vice versa). Check with
Guy Nason for more info.
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This page is maintained by
Maarten Jansen
(maarten.jansen-AT-ulb.ac.be)
URL: http://homepages.ulb.ac.be/~majansen/software/index.html