A forward-backward view of some primal-dual optimization methods in image recovery.
Patrick L. CombettesLaurent CondatJean-Christophe PesquetBang Công VuPublished in: ICIP (2014)
Keyphrases
- optimization methods
- primal dual
- image recovery
- forward backward
- half quadratic
- coordinate ascent
- global convergence
- linear programming
- convex optimization
- convergence rate
- optimization problems
- linear program
- optimization method
- approximation algorithms
- compressive sensing
- simulated annealing
- hidden markov models
- convex sets
- variational inequalities
- algorithm for linear programming
- semidefinite programming
- line search
- evolutionary algorithm
- np hard
- neural network
- step size
- optimization algorithm
- lower bound
- image segmentation
- image processing