golub-kahan bidiagonalization 1hybrid iterative methods 1regularization 1unmatched projector 1x-ray computed tomography 1
From the 1 of 3 linked papers with an AI index.
3 papers
math.NA2026
Hybrid GKB Methods for X-Ray Tomography Problems with Unmatched Back Projector
Abdulmajeed Alsubhi, Rosemary Renaut
The paper introduces hybrid Golub‑Kahan bidiagonalization methods that incorporate regularization to improve iterative X‑ray CT reconstruction when the forward and back projectors…
math.NA2024
Parameter Selection by GCV and a test within Iterative Methods for -regularized Inverse Problems
Brian Sweeney, Rosemary Renaut, Malena Español
regularization is used to preserve edges or enforce sparsity in a solution to an inverse problem. We investigate the Split Bregman and the Majorization-Minimization iterat…
math.NA2024
Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs
Abdulmajeed Alsubhi, Rosemary Renaut
We consider the solution of the regularized image deblurring problem using isotropic and anisotropic regularization implemented with the split Bregman algorithm. For large…