Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization.
Yu-Bang ZhengTing-Zhu HuangXi-Le ZhaoTai-Xiang JiangJie HuangPublished in: IGARSS (2019)
Keyphrases
- image denoising
- hyperspectral
- augmented lagrangian
- total variation
- denoising
- total variation regularization
- hyperspectral images
- remote sensing
- noisy images
- bilateral filtering
- infrared
- natural images
- minimization problems
- image processing
- multispectral
- convex optimization
- hyperspectral imagery
- partial differential equations
- hyperspectral data
- image data
- regularization term
- nonlinear diffusion
- spatial resolution
- wavelet domain
- change detection
- denoising methods
- information content
- wavelet coefficients
- satellite images
- high resolution
- noise level
- multispectral images
- graph cuts
- mean shift
- pairwise
- machine learning