Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation.
Minghua WangQiang WangJocelyn ChanussotDan LiPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- total variation
- noise removal
- denoising
- low rank
- convex optimization
- hyperspectral images
- spectral signatures
- minimization problems
- frequency domain
- hyperspectral
- image denoising
- gaussian noise
- natural images
- low rank matrix
- noisy images
- image processing
- image restoration
- matrix completion
- regularization term
- fourth order
- linear combination
- anisotropic diffusion
- wavelet domain
- missing data
- remote sensing
- matrix factorization
- convex relaxation
- image deblurring
- singular value decomposition
- image enhancement
- semi supervised
- diffusion equation
- noise reduction
- multispectral
- image data
- impulse noise
- multiscale
- nonlinear diffusion
- level set
- high dimensional data
- machine learning