Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation.
Haijin ZengXiaozhen XieJifeng NingPublished in: CoRR (2020)
Keyphrases
- total variation
- hyperspectral
- convex optimization
- image denoising
- low rank
- trace norm
- denoising
- remote sensing
- norm minimization
- regularization term
- regularization methods
- natural images
- noisy images
- augmented lagrangian
- low rank matrix
- image processing
- interior point methods
- minimization problems
- partial differential equations
- matrix completion
- image data
- primal dual
- total variation regularization
- wavelet coefficients
- image deblurring
- image restoration
- kernel matrix
- wavelet domain
- nuclear norm
- nonlinear diffusion
- missing data
- mumford shah
- high order
- markov random field
- higher order
- multiscale