1 citations · 1 across the 4 of their papers we have counts for
4 papers
Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
Jonathan Lindbloom, Mirjeta Pasha, Jan Glaubitz +1
High-quality reconstructions of signals and images with sharp edges are needed in a wide range of applications. To overcome the large dimensionality of the parameter space and the…
TRIPs-Py: Techniques for Regularization of Inverse Problems in Python
Mirjeta Pasha, Silvia Gazzola, Connor Sanderford +1
In this paper, we describe TRIPs-Py, a new Python package of linear discrete inverse problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools fo…
Tensor Completion with BMD Factor Nuclear Norm Minimization
Fan Tian, Mirjeta Pasha, Misha E. Kilmer +2
This paper is concerned with the problem of recovering third-order tensor data from limited samples. A recently proposed tensor decomposition (BMD) method has been shown to efficie…
Recycling MMGKS for large-scale dynamic and streaming data
Mirjeta Pasha, Eric de Sturler, Misha E. Kilmer
Reconstructing high-quality images with sharp edges requires the use of edge-preserving constraints in the regularized form of the inverse problem. The use of the -norm on…