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A COMPUTATIONAL FRAMEWORK FOR EDGE-PRESERVING REGULARIZATION IN DYNAMIC INVERSE PROBLEMS
We devise efficient methods for dynamic inverse problems, where both the quantities of interest and the forward operator (measurement process) may change in time. Our goal is to solve for all the quantities of interest...
Computerized tomography dynamic inversion edge-preservation generalized Krylov subspaces Image deblurring majorization-minimization photoacoustic tomography regularization time-dependence /dk/atira/pure/subjectarea/asjc/2600/2603 name=Analysis /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics
A COMPUTATIONAL FRAMEWORK FOR EDGE-PRESERVING REGULARIZATION IN DYNAMIC INVERSE PROBLEMS
We devise efficient methods for dynamic inverse problems, where both the quantities of interest and the forward operator (measurement process) may change in time. Our goal is to solve for all the quantities of interest...
Computerized tomography dynamic inversion edge-preservation generalized Krylov subspaces Image deblurring majorization-minimization photoacoustic tomography regularization time-dependence /dk/atira/pure/subjectarea/asjc/2600/2603 name=Analysis /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics