12 citations · 16 across the 8 of their papers we have counts for
4 papers · 1 filter
A General Decomposition Method for a Convex Problem Related to Total Variation Minimization
Stephan Hilb, Andreas Langer
We consider sequential and parallel decomposition methods for a dual problem of a general total variation minimization problem with applications in several image processing tasks,…
Automated Parameter Selection for Total Variation Minimization in Image Restoration
Andreas Langer
Algorithms for automatically selecting a scalar or locally varying regularization parameter for total variation models with an -data fidelity term, , are present…
A Convergent Overlapping Domain Decomposition Method for Total Variation Minimization
Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb
This paper is concerned with the analysis of convergent sequential and parallel overlapping domain decomposition methods for the minimization of functionals formed by a discrepancy…
Domain decomposition methods for compressed sensing
Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb
We present several domain decomposition algorithms for sequential and parallel minimization of functionals formed by a discrepancy term with respect to data and total variation con…