Random Gabor Multipliers for Compressive Sensing: A Simulation Study.
Shristi RajbamshiGeorg TauböckPéter BalázsLuís Daniel AbreuPublished in: EUSIPCO (2019)
Keyphrases
- simulation study
- compressive sensing
- image representation
- image recovery
- random projections
- sparse representation
- signal processing
- monte carlo
- signal reconstruction
- face recognition
- structured sparsity
- image classification
- feature extraction
- distributed source coding
- feature vectors
- gabor filters
- multiscale
- compressive sampling
- image retrieval
- feature space
- preprocessing
- image processing