Combined higher order non-convex total variation with overlapping group sparsity for impulse noise removal
A typical approach to eliminate impulse noise is to use the l(1)-norm for both the data fidelity term and the regularization terms. However, the l(1)-norm tends to over penalize signal entries which is one of its underpinnings. Hence, we propose a variational model that uses the non-convex l(p)-norm...
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| Main Authors: | , , , |
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| 格式: | Article |
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Springer
2021
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| 主題: | |
| 在線閱讀: | http://eprints.um.edu.my/26388/ |
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| 機構: | Universiti Malaya |