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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Bibliographic Details
Main Author: Sra, Suvrit (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: 2021-04-26T11:59:20Z.
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