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

You-Wei Wen & Andy M. Yip

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.

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65K10, 68U10

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COPYRIGHT: © Global Science Press

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@Article{NMTMA-2-427, author = {}, 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 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 & Andy M. Yip. (2020). 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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