Meta-learning based blind image super-resolution approach to different degradations.
Zhixiong YangJingyuan XiaShengxi LiWende LiuShuaifeng ZhiShuanghui ZhangLi LiuYaowen FuDeniz GündüzPublished in: Neural Networks (2024)
Keyphrases
- meta learning
- image super resolution
- learning tasks
- inductive learning
- low resolution
- super resolution
- dictionary learning
- model selection
- machine learning algorithms
- low resolution images
- decision trees
- kernel regression
- image registration
- edge preserving
- feature selection
- map estimation
- sparse representation
- data mining
- high resolution
- maximum a posteriori
- metamodel
- machine learning
- image patches
- sparse coding
- base classifiers
- knowledge acquisition
- image reconstruction
- principal component analysis
- semi supervised
- multi class
- similarity measure