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Publication 19-CNA-001
Elisa Davoli Irene Fonseca Pan Liu Abstract: A bilevel training scheme is used to introduce a novel class of regularizers, providing a unified approach to standard regularizers TV, TGV and ^{2}NsTGV. Optimal parameters and regularizers are identified, and the existence of a solution for any given set of training imaging data is proved by $\Gamma$-convergence. Explicit examples and numerical results are given.^{2}Get the paper in its entirety as 19-CNA-001.pdf |