Deep Learning-based MRI Super-Resolution Using Non-uniform Segmented Phase-Scrambling Fourier Transform Signals.
Kazuki YamatoShuntaro FujisawaSatoshi ItoPublished in: APSIPA ASC (2023)
Keyphrases
- fourier transform
- super resolution
- deep learning
- high resolution
- signal processing
- image reconstruction
- phase unwrapping
- low resolution
- frequency domain
- single image
- unsupervised learning
- magnetic resonance imaging
- radon transform
- image restoration
- machine learning
- high quality
- motion estimation
- remote sensing
- motion blur
- image processing
- denoising
- spatial domain
- medical images
- depth map
- image patches
- pattern recognition
- image sequences