Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior.
Pierre BarbaultMatthieu KowalskiCharles SoussenPublished in: ICASSP (2022)
Keyphrases
- parameter estimation
- inverse problems
- maximum likelihood
- image reconstruction
- global optimization
- convex optimization
- maximum a posteriori
- model selection
- markov random field
- optimization problems
- least squares
- em algorithm
- mixture model
- optimization methods
- posterior distribution
- expectation maximization
- random fields
- high dimensional
- smoothness constraint
- early vision
- parameter estimation algorithm
- image restoration
- prior model
- hyperparameters
- graphical models
- pairwise
- high quality
- image segmentation
- machine learning