@Article{NMTMA-2-4,
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 = {<p style="text-align: justify;">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.</p>},
issn = {2079-7338},
doi = {https://doi.org/10.4208/nmtma.2009.m9005s},
url = {https://global-sci.com/article/90761/adaptive-parameter-selection-for-total-variation-image-deconvolution}
}