On the rate of convergence of alternating minimization for non-smooth non-strongly convex optimization in Banach spaces.
Jakub Wiktor BothPublished in: Optim. Lett. (2022)
Keyphrases
- convex optimization
- alternating minimization
- total variation
- image restoration
- denoising
- image denoising
- operator splitting
- spatially varying
- image processing
- blind deconvolution
- convex optimization problems
- natural images
- compressive sensing
- convergence rate
- regularization parameter
- kullback leibler divergence
- image deblurring
- alternating direction method of multipliers
- machine learning
- noisy images
- motion blur
- bayesian framework
- map estimation
- cross validation