Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances.
Jonathan LindbloomJan GlaubitzAnne GelbPublished in: CoRR (2024)
Keyphrases
- inverse problems
- image reconstruction
- convex optimization
- global optimization
- compressed sensing
- optimization methods
- optimization problems
- signal to noise ratio
- regularization methods
- early vision
- smoothness constraint
- partial differential equations
- missing data
- noise reduction
- sparse representation
- higher order
- evolutionary algorithm
- image processing