Compressed Sensing in microscopy with random projections in the Fourier domain.
Marcio de Moraes MarimElsa D. AngeliniJean-Christophe Olivo-MarinPublished in: ICIP (2009)
Keyphrases
- compressed sensing
- fourier domain
- random projections
- fourier transform
- frequency domain
- spatial domain
- dimensionality reduction
- radon transform
- image reconstruction
- dimension reduction
- optic flow
- wavelet domain
- log polar
- compressive sensing
- gabor filters
- low dimensional
- preprocessing step
- random sampling
- point spread function
- original data
- sparse representation
- invariant features
- blurred images
- high resolution
- principal component analysis
- data sets
- high dimensionality
- training set
- image processing