Cube-based perceptual weighted Kronecker Compressive Sensing: Can we avoid non-visible redundancies acquisition?
Seyed Hamid SafaviFarah Torkamani-AzarPublished in: J. Vis. Commun. Image Represent. (2017)
Keyphrases
- compressive sensing
- random projections
- image recovery
- sparse representation
- signal processing
- signal reconstruction
- compressive sampling
- image representation
- distributed source coding
- multi dimensional
- structured sparsity
- neural network
- image processing
- image reconstruction
- orthogonal matching pursuit
- feature selection
- computer vision
- information retrieval