Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization.
Jing-Hua YangXi-Le ZhaoTian-Hui MaYong ChenTing-Zhu HuangMeng DingPublished in: J. Comput. Appl. Math. (2020)
Keyphrases
- low rank
- remote sensing images
- convex optimization
- total variation
- minimization problems
- regularization methods
- regularization term
- rank minimization
- image restoration
- trace norm
- denoising
- remote sensing
- total variation regularization
- multispectral
- augmented lagrangian
- image denoising
- low rank matrix
- norm minimization
- mumford shah
- interior point methods
- matrix completion
- image deblurring
- image processing
- group lasso
- kernel matrix
- primal dual
- nuclear norm
- regularization parameter
- regularization method
- linear combination
- missing data
- natural images
- convex relaxation
- singular value decomposition
- data sets
- structured sparsity
- interior point
- super resolution
- semi supervised