Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging.
Yao WangYishan HanKaidong WangXi-Le ZhaoPublished in: Signal Process. (2022)
Keyphrases
- trace norm
- total variation
- low rank
- convex optimization
- image denoising
- image restoration
- denoising
- image processing
- minimization problems
- compressive sensing
- regularization term
- norm minimization
- matrix completion
- regularization methods
- image deblurring
- natural images
- interior point methods
- kernel matrix
- missing data
- linear combination
- high order
- low rank matrix
- partial differential equations
- semi supervised
- high resolution
- rank minimization
- matrix factorization
- convex relaxation
- regularization method
- markov random field
- primal dual
- multi task
- computer vision
- singular value decomposition
- random projections
- singular values
- mumford shah
- wavelet coefficients
- super resolution
- nuclear norm
- sparse representation
- high dimensional data
- pairwise