A Neural-Network-Based Convex Regularizer for Inverse Problems.
Alexis GoujonSebastian NeumayerPakshal BohraStanislas DucotterdMichael UnserPublished in: IEEE Trans. Computational Imaging (2023)
Keyphrases
- inverse problems
- convex optimization
- total variation
- image reconstruction
- global optimization
- image denoising
- image restoration
- emission tomography
- denoising
- optimization methods
- regularization term
- evolutionary algorithm
- image processing
- super resolution
- optimization problems
- simulated annealing
- object recognition
- image segmentation
- smoothness constraint
- neural network