Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification.
Daniel GetterJulie BessacJohann RudiYan FengPublished in: CoRR (2022)
Keyphrases
- super resolution
- convolutional neural network
- low resolution
- high resolution
- image reconstruction
- highest resolution
- face detection
- low resolution images
- image restoration
- high resolution images
- motion estimation
- single image
- resolution enhancement
- image super resolution
- super resolution reconstruction
- three dimensional
- motion blur
- scanning devices
- super resolved
- high quality
- d objects
- light field
- super resolution algorithm
- multi frame
- single frame
- back projection
- depth map
- image resolution
- machine learning
- video super resolution
- surface reconstruction
- single image super resolution
- scale space
- image processing
- high resolution video
- reconstruction method
- range data
- feature selection