Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising.
Yi ChangLuxin YanSheng ZhongPublished in: CVPR (2017)
Keyphrases
- multispectral
- image denoising
- trace norm
- low rank
- high order
- total variation
- convex optimization
- denoising
- natural images
- remote sensing
- missing data
- partial differential equations
- image processing
- matrix completion
- multispectral images
- wavelet domain
- linear combination
- image analysis
- sparse coding
- singular value decomposition
- image data
- spatial resolution
- matrix factorization
- norm minimization
- low rank matrix
- wavelet coefficients
- semi supervised
- regularization term
- higher order
- multi task
- minimization problems
- edge detection
- multiscale
- singular values
- machine learning
- feature extraction
- least squares
- pairwise
- high dimensional data
- interior point methods
- input image
- object recognition
- pattern recognition