Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising.
Haijin ZengShaoguang HuangYongyong ChenHiêp Quang LuongWilfried PhilipsPublished in: CoRR (2022)
Keyphrases
- total variation
- low rank
- hyperspectral
- convex optimization
- denoising
- spectral signatures
- image denoising
- hyperspectral images
- frequency domain
- remote sensing
- multispectral
- hyperspectral imagery
- minimization problems
- image restoration
- image processing
- infrared
- low rank matrix
- natural images
- image data
- matrix completion
- missing data
- noisy images
- regularization methods
- wavelet domain
- matrix factorization
- spatial resolution
- regularization term
- linear combination
- singular value decomposition
- high order
- image deblurring
- trace norm
- semi supervised
- high quality
- spatial domain
- image analysis
- recommender systems
- singular values
- collaborative filtering
- high dimensional data