Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation.
Haijin ZengXiaozhen XieJifeng NingPublished in: Signal Process. (2021)
Keyphrases
- total variation
- hyperspectral
- convex optimization
- image denoising
- low rank
- trace norm
- denoising
- remote sensing
- norm minimization
- natural images
- regularization methods
- noisy images
- image processing
- matrix completion
- regularization term
- image data
- augmented lagrangian
- total variation regularization
- minimization problems
- low rank matrix
- partial differential equations
- interior point methods
- image deblurring
- primal dual
- image restoration
- wavelet coefficients
- wavelet domain
- higher order
- kernel matrix
- nonlinear diffusion
- similarity measure
- high order
- anisotropic diffusion
- subband
- linear combination
- edge detection
- objective function
- high quality
- nuclear norm