Dictionary learning from incomplete data for efficient image restoration.
Valeriya NaumovaKarin SchnassPublished in: EUSIPCO (2017)
Keyphrases
- image restoration
- incomplete data
- dictionary learning
- proximal point
- total variation
- sparse representation
- image processing
- missing values
- markov random field
- missing data
- regularization parameter
- edge preserving
- sparse coding
- bayesian networks
- image deblurring
- super resolution
- regularization method
- degraded images
- em algorithm
- blurred images
- generative model
- machine learning
- image classification
- learning algorithm