Using generalized cross validation to select regularization parameter for total variation regularization problems (Q1785029)
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scientific article; zbMATH DE number 6945043
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Using generalized cross validation to select regularization parameter for total variation regularization problems |
scientific article; zbMATH DE number 6945043 |
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Using generalized cross validation to select regularization parameter for total variation regularization problems (English)
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27 September 2018
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The authors propose an automatic construction of the regularization parameter for total variation (TV) image restoration problems. They first reformulate the TV as a minimax problem, then apply for this a first-order primal-dual algorithm. Numerical experiments and comparisons with other methods are also presented.
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regularization parameter
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generalized cross validation (GCV)
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primal-dual
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total variation (TV)
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0.8971789
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0.8952997
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