Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches.
Agnieszka Barbara SzczotkaDzhoshkun Ismail ShakirDaniele RavìMatthew J. ClarksonStephen P. PereiraTom VercauterenPublished in: CoRR (2019)
Keyphrases
- super resolution
- high resolution
- low resolution
- sampled data
- single image super resolution
- image reconstruction
- learning algorithm
- low resolution images
- high dimensional
- supervised learning
- image compression
- training data
- depth map
- image restoration
- dense motion estimation
- unsupervised learning
- image classification
- reinforcement learning
- high quality
- three dimensional
- image processing