Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography
The p = 1 case is approached as the limit case (1,2) ∋ p → 1, by complementing numerical evidence with a (partial) theoretical analysis, based on arguments from Γ-convergence theory. ...
study of sparsity-promoting regularization and extend the aforementioned convergence rates to work with ℓ^p-norm regularization, with p ∈ (1,2), for a special class of non-tight Banach frames, called shearlets ...
Gitta Kutyniok, Wang-Q Lim, and Rafael Reisenhofer, Shearlab 3D: Faithful digital shearlet transforms based on
compactly supported shearlets, ACM Transactions on Mathematical Software (TOMS) 42 (2016 ...