Supervised Learning of Sparsity-Promoting Regularizers for Denoising.
Michael T. McCannSaiprasad RavishankarPublished in: CoRR (2020)
Keyphrases
- denoising
- supervised learning
- total variation
- basis pursuit
- fidelity term
- image denoising
- noisy images
- natural images
- learning algorithm
- denoising algorithm
- unsupervised learning
- image processing
- regularization term
- regularization methods
- semi supervised learning
- active learning
- training data
- convex optimization
- machine learning
- wavelet domain
- semi supervised
- image restoration
- learning tasks
- data sets
- training set
- image deblurring
- noise removal
- labeled data
- gaussian noise
- wavelet packet
- sparse representation
- learning problems
- supervised machine learning
- high dimensional
- multiple instance learning
- linear combination
- denoising methods
- wavelet denoising
- reinforcement learning
- nonlinear diffusion
- class labels
- optic flow
- multiresolution