Variational Inference for Computational Imaging Inverse Problems.
Francesco TonoliniAshley LyonsPiergiorgio CaramazzaDaniele FaccioRoderick Murray-SmithPublished in: CoRR (2019)
Keyphrases
- inverse problems
- variational inference
- image reconstruction
- global optimization
- bayesian inference
- probabilistic graphical models
- convex optimization
- gaussian process
- variational methods
- posterior distribution
- topic models
- probabilistic model
- optimization methods
- mixture model
- optimization problems
- exponential family
- image analysis
- image processing
- partial differential equations
- latent dirichlet allocation
- closed form
- approximate inference
- smoothness constraint
- high resolution
- early vision
- graph cuts
- image segmentation