Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization.
Skylar W. WursterHan-Wei ShenHanqi GuoThomas PeterkaMukund RajJiayi XuPublished in: CoRR (2021)
Keyphrases
- super resolution
- data reduction
- low resolution
- data analysis
- high resolution
- data compression
- preprocessing
- low resolution images
- image super resolution
- motion estimation
- high resolution images
- data mining
- super resolved
- classification rules
- resolution enhancement
- high quality
- knowledge discovery
- feature selection
- single image super resolution
- super resolution reconstruction
- rough set theory
- singular value decomposition
- model selection
- depth map
- genetic programming
- classification accuracy
- data quality
- supervised learning
- compression ratio
- data sets
- image synthesis
- dimensionality reduction
- feature extraction
- machine learning
- databases