Hyperspectral Image Denoising via Combined Non-Local Self-Similarity and Local Low-Rank Regularization.
Haijin ZengXiaozhen XieWenfeng KongShuang CuiJifeng NingPublished in: IEEE Access (2020)
Keyphrases
- image denoising
- hyperspectral
- low rank
- natural images
- rank minimization
- trace norm
- total variation
- minimization problems
- convex optimization
- denoising
- remote sensing
- noisy images
- infrared
- multispectral
- missing data
- image processing
- linear combination
- low rank matrix
- image data
- matrix completion
- matrix factorization
- regularization term
- kernel matrix
- high order
- semi supervised
- wavelet domain
- singular value decomposition
- spatial resolution
- wavelet coefficients
- higher order
- high dimensional data
- high resolution
- norm minimization
- multiscale
- multiresolution
- object recognition
- pattern recognition
- mumford shah
- feature vectors
- data sets
- frequency domain
- image segmentation
- image compression