Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior.
Shuang XuJiangshe ZhangChunxia ZhangPublished in: Signal Process. (2022)
Keyphrases
- image denoising
- total variation
- convex optimization
- low rank
- denoising
- minimization problems
- natural images
- image restoration
- noisy images
- image processing
- image deblurring
- augmented lagrangian
- total variation regularization
- wavelet domain
- regularization methods
- partial differential equations
- wavelet coefficients
- matrix completion
- missing data
- remote sensing
- regularization term
- semi supervised
- singular value decomposition
- matrix factorization
- interior point methods
- high order
- low rank matrix
- nuclear norm
- visual quality
- linear combination
- high resolution