Robust image compressive sensing based on m-estimator and nonlocal low-rank regularization.
Beijia ChenHuaijiang SunLei FengGuiyu XiaGuoqing ZhangPublished in: Neurocomputing (2018)
Keyphrases
- low rank
- compressive sensing
- rank minimization
- trace norm
- group sparsity
- compressive sampling
- image representation
- image data
- structured sparsity
- low rank matrix
- multiscale
- convex optimization
- image features
- singular values
- linear combination
- image segmentation
- sparse representation
- high resolution
- input image
- image classification
- image retrieval
- matrix factorization
- missing data
- random projections
- matrix completion
- high dimensional data
- sparse coding
- norm minimization
- image processing
- semi supervised
- group lasso
- input data
- high order
- higher order
- super resolution
- singular value decomposition
- pattern recognition
- image restoration