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A Direct Algorithm for 1D Total Variation Denoising

Laurent Condat 1, *
* Corresponding author
Abstract : A very fast noniterative algorithm is proposed for denoising or smoothing one-dimensional discrete signals, by solving the total variation regularized least-squares problem or the related fused lasso problem. A C code implementation is available on the web page of the author.
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Submitted on : Sunday, August 11, 2013 - 3:16:41 PM
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Laurent Condat. A Direct Algorithm for 1D Total Variation Denoising. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2013, 20 (11), pp.1054-1057. ⟨10.1109/LSP.2013.2278339⟩. ⟨hal-00675043v4⟩

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