An Optimization Approach of Compressive Sensing Recovery Using Split Quadratic Bregman Iteration with Smoothed ℓ0 Norm.
Guoan YangYuning YouZhengzhi LuJunjie YangYuhao WangPublished in: IPAS (2018)
Keyphrases
- compressive sensing
- image recovery
- compressive sampling
- objective function
- random projections
- sparse representation
- signal reconstruction
- image representation
- signal processing
- structured sparsity
- compressed sensing
- orthogonal matching pursuit
- distributed source coding
- trace norm
- image reconstruction
- efficient optimization
- data sets
- unsupervised learning
- image classification
- nearest neighbor
- computational complexity
- image processing
- machine learning