Sparse Modeling of Dictionary Learning in Compressive Sensing for Medical Images.
Kowsalya AHepzibah A. ChristinalD. Abraham ChandyT. ShekinahChandrajit L. BajajPublished in: WINS (2022)
Keyphrases
- medical images
- sparse representation
- compressive sensing
- dictionary learning
- group sparsity
- sparse coding
- random projections
- medical imaging
- compressive sampling
- mr images
- image representation
- image classification
- magnetic resonance imaging
- face recognition
- magnetic resonance images
- compressed sensing
- structured sparsity
- signal processing
- high dimensional data
- orthogonal matching pursuit
- signal recovery
- single image super resolution
- image patches
- dimensionality reduction
- feature extraction
- neural network
- natural images
- computer vision