Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling.
Rick ChartrandPublished in: ICIP (2008)
Keyphrases
- compressive sensing
- compressive sampling
- compressed sensing
- image reconstruction
- signal reconstruction
- random projections
- sparse representation
- sparse reconstruction
- fourier domain
- image data
- image classification
- image recovery
- edge detection
- signal processing
- band limited
- input image
- structured sparsity
- log polar
- object recognition
- fourier transform
- image representation
- natural images
- image retrieval
- orthogonal matching pursuit
- group sparsity
- text mining
- image features
- dictionary learning
- random sampling
- dimension reduction
- computer vision