End-to-end reconstruction meets data-driven regularization for inverse problems.
Subhadip MukherjeeMarcello CarioniOzan ÖktemCarola-Bibiane SchönliebPublished in: CoRR (2021)
Keyphrases
- end to end
- inverse problems
- data driven
- image reconstruction
- emission tomography
- regularization methods
- global optimization
- regularization method
- convex optimization
- optimization methods
- partial differential equations
- super resolution
- congestion control
- optimization problems
- early vision
- neural network
- subband
- simulated annealing
- cost function
- high quality