Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible K-space undersampling, and multiscale spatial regularity.
Suyash P. AwateEdward V. R. DiBellaPublished in: ISBI (2013)
Keyphrases
- rotation invariant
- compressed sensing
- multiscale
- sparse representation
- natural images
- local binary pattern
- image reconstruction
- image representation
- texture analysis
- random projections
- texture classification
- feature vectors
- signal processing
- spatial information
- image processing
- image segmentation
- texture features
- compressive sensing
- image denoising
- data sets
- image classification
- texture images
- face recognition
- scale space
- fourier domain
- gabor filters
- dimensionality reduction
- color images
- wavelet domain
- feature space
- input image
- edge detection