Modular proximal optimization for multidimensional total-variation regularization
We study TV regularization, a widely used technique for eliciting structured sparsity. In particular, we propose efficient algorithms for computing prox-operators for `p-norm TV. The most important among these is `1-norm TV, for whose prox-operator we present a new geometric analysis which unveils a...
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/1721.1/130520 |