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Computer Science > Computer Vision and Pattern Recognition

arXiv:1402.3869 (cs)
[Submitted on 17 Feb 2014 (v1), last revised 16 May 2014 (this version, v2)]

Title:FTVd is beyond Fast Total Variation regularized Deconvolution

Authors:Yilun Wang
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Abstract:In this paper, we revisit the "FTVd" algorithm for Fast Total Variation Regularized Deconvolution, which has been widely used in the past few years. Both its original version implemented in the MATLAB software FTVd 3.0 and its related variant implemented in the latter version FTVd 4.0 are considered \cite{Wang08FTVdsoftware}. We propose that the intermediate results during the iterations are the solutions of a series of combined Tikhonov and total variation regularized image deconvolution models and therefore some of them often have even better image quality than the final solution, which is corresponding to the pure total variation regularized model.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
ACM classes: G.1.6; G.4; I.4.4
Cite as: arXiv:1402.3869 [cs.CV]
  (or arXiv:1402.3869v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.1402.3869

Submission history

From: Yilun Wang [view email]
[v1] Mon, 17 Feb 2014 02:13:30 UTC (3,183 KB)
[v2] Fri, 16 May 2014 03:24:09 UTC (3,184 KB)
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