Data-Driven Convex Regularizers for Inverse Problems.
Subhadip MukherjeeSören DittmerZakhar ShumaylovSebastian LunzOzan ÖktemCarola B. SchönliebPublished in: ICASSP (2024)
Keyphrases
- inverse problems
- data driven
- convex optimization
- regularization methods
- total variation
- image reconstruction
- global optimization
- regularization method
- emission tomography
- image denoising
- image restoration
- linear combination
- early vision
- optimization problems
- partial differential equations
- optimization methods
- multiscale
- image processing
- computationally expensive
- optimization algorithm
- computationally efficient
- regularization term