A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.
Jie WangQingyang LiSen YangWei FanPeter WonkaJieping YePublished in: ICML (2014)
Keyphrases
- parallel algorithm
- total variation
- highly scalable
- denoising
- image restoration
- image denoising
- image processing
- convex optimization
- regularization methods
- image deblurring
- data partitioning
- parallel computation
- minimization problems
- total variation minimization
- color image restoration
- multiplicative noise removal
- total variation regularization
- augmented lagrangian
- blurred images
- graphical models
- objective function