A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration.
Gaohang YuWei XueYi ZhouPublished in: Signal Process. (2014)
Keyphrases
- total variation
- image restoration
- primal dual
- convex optimization
- variational inequalities
- convergence rate
- interior point methods
- edge preserving
- linear programming problems
- markov random field
- augmented lagrangian
- half quadratic
- regularization term
- image deblurring
- total variation minimization
- linear programming
- super resolution
- image processing
- interior point
- color image restoration
- linear program
- blurred images
- image restoration problems
- regularization methods
- iterative image restoration
- convex sets
- denoising
- blind deconvolution
- image denoising
- gaussian noise
- regularization method
- approximation algorithms
- convex relaxation
- point spread function
- total least squares
- step size
- computer vision
- regularization parameter
- degraded images
- image compression
- inverse scale space