Total Variation Optimization Layers for Computer Vision.
Raymond A. YehYuan-Ting HuZhongzheng RenAlexander G. SchwingPublished in: CoRR (2022)
Keyphrases
- total variation
- computer vision
- image restoration
- denoising
- image processing
- image denoising
- convex optimization
- alternating direction method of multipliers
- image deblurring
- total variation minimization
- augmented lagrangian
- total variation regularization
- regularization methods
- color image restoration
- blind deconvolution
- augmented lagrangian method
- dual formulation
- minimization problems
- regularization term
- constrained optimization
- image sequences
- object recognition
- fidelity term
- discrete optimization
- mumford shah
- global optimization
- convex relaxation
- noisy images
- multiplicative noise removal
- image segmentation
- optical flow
- cost function
- higher order
- optimization problems
- edge preserving
- operator splitting
- blurred images