Hyperspectral image denoising based on global and non-local low-rank factorizations.
Lina ZhuangJosé M. Bioucas-DiasPublished in: ICIP (2017)
Keyphrases
- image denoising
- low rank
- hyperspectral
- matrix factorization
- total variation
- denoising
- convex optimization
- remote sensing
- noisy images
- linear combination
- multispectral
- infrared
- missing data
- natural images
- low rank matrix
- minimization problems
- image processing
- semi supervised
- image data
- singular value decomposition
- wavelet domain
- high dimensional data
- collaborative filtering
- wavelet coefficients
- high order
- spatial resolution
- high resolution
- nonnegative matrix factorization
- recommender systems
- higher order
- least squares
- input image
- particle filter
- pattern recognition
- high quality
- signal processing