Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems.
Ali Mohammad-DjafariPublished in: Entropy (2021)
Keyphrases
- inverse problems
- bayesian inference
- image reconstruction
- global optimization
- regularization methods
- convex optimization
- regularization method
- probabilistic model
- prior information
- hyperparameters
- optimization problems
- computationally expensive
- optimization methods
- partial differential equations
- particle filter
- early vision
- smoothness constraint
- image denoising
- image segmentation
- particle swarm optimization
- super resolution
- regularization parameter
- high resolution
- expectation propagation
- pairwise