Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning.
Artur SpeiserSrinivas C. TuragaJakob H. MackePublished in: CoRR (2019)
Keyphrases
- super resolution
- unsupervised learning
- high resolution
- neural network
- supervised learning
- deep architectures
- low resolution
- image reconstruction
- single image super resolution
- object recognition
- high quality
- image restoration
- deep learning
- low resolution images
- image resolution
- motion estimation
- reinforcement learning
- image super resolution
- machine learning
- image analysis
- super resolution reconstruction
- high resolution images
- motion blur
- spatial resolution
- remote sensing
- learning algorithm
- image processing