Tensor Low-Rank Constraint and $l_0$ Total Variation for Hyperspectral Image Mixed Noise Removal.
Minghua WangQiang WangJocelyn ChanussotPublished in: IEEE J. Sel. Top. Signal Process. (2021)
Keyphrases
- noise removal
- total variation
- low rank
- denoising
- convex optimization
- trace norm
- image denoising
- high order
- regularization term
- minimization problems
- low rank matrix
- gaussian noise
- image restoration
- image processing
- anisotropic diffusion
- noisy images
- matrix completion
- natural images
- image deblurring
- missing data
- linear combination
- diffusion tensor
- wavelet domain
- frequency domain
- matrix factorization
- diffusion equation
- partial differential equations
- impulse noise
- singular value decomposition
- high dimensional data
- nonlinear diffusion
- higher order
- image enhancement
- edge detection
- convex relaxation
- noise reduction
- multi task
- image compression
- semi supervised
- motion estimation
- multiresolution
- object recognition