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Volume 2, Issue 4
Adaptive Parameter Selection for Total Variation Image Deconvolution

You-Wei Wen & Andy M. Yip

DOI: 10.4208/nmtma.2009.m9005s

Numer. Math. Theor. Meth. Appl., 2 (2009), pp. 427-438.

Published online: 2009-02

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  • Abstract

In this paper, we propose a discrepancy rule-based method to automatically choose the regularization parameters for total variation image restoration problems. The regularization parameters are adjusted dynamically in each iteration. Numerical results are shown to illustrate the performance of the proposed method.

  • Keywords

Image restoration, regularization parameter, total variation.

  • AMS Subject Headings

65K10, 68U10

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{NMTMA-2-427, author = {You-Wei Wen and Andy M. Yip}, title = {Adaptive Parameter Selection for Total Variation Image Deconvolution}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2009}, volume = {2}, number = {4}, pages = {427--438}, abstract = {

In this paper, we propose a discrepancy rule-based method to automatically choose the regularization parameters for total variation image restoration problems. The regularization parameters are adjusted dynamically in each iteration. Numerical results are shown to illustrate the performance of the proposed method.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.2009.m9005s}, url = {http://global-sci.org/intro/article_detail/nmtma/6033.html} }
TY - JOUR T1 - Adaptive Parameter Selection for Total Variation Image Deconvolution AU - You-Wei Wen & Andy M. Yip JO - Numerical Mathematics: Theory, Methods and Applications VL - 4 SP - 427 EP - 438 PY - 2009 DA - 2009/02 SN - 2 DO - http://doi.org/10.4208/nmtma.2009.m9005s UR - https://global-sci.org/intro/article_detail/nmtma/6033.html KW - Image restoration, regularization parameter, total variation. AB -

In this paper, we propose a discrepancy rule-based method to automatically choose the regularization parameters for total variation image restoration problems. The regularization parameters are adjusted dynamically in each iteration. Numerical results are shown to illustrate the performance of the proposed method.

You-Wei Wen and Andy M. Yip. (2009). Adaptive Parameter Selection for Total Variation Image Deconvolution. Numerical Mathematics: Theory, Methods and Applications. 2 (4). 427-438. doi:10.4208/nmtma.2009.m9005s
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