2 papers
cs.CV2026
Bayesian Sequential Optimal Experimental Design for Single-Pixel Imaging using Reinforcement Learning
Marcos Antonio Obando, Tianyuan Wang, Tanja Tarvainen +2
Adaptive compressed sensing (CS) aims to select the most informative measurements sequentially, which is crucial for many modern imaging systems. This task can be formulated as a B…
math.NA2026
Efficient TV regularization of large-scale linear inverse problems via the SCD semismooth* Newton method with applications in tomography
Helmut Gfrerer, Simon Hubmer, Stefan Kindermann +3
In this paper, we consider the efficient numerical minimization of Tikhonov functionals resulting from total-variation (TV) regularization of linear inverse problems. Since the TV…