Patch-Based Low-Rank Minimization for Image Denoising.
Haijuan HuJacques FromentQuansheng LiuPublished in: CoRR (2015)
Keyphrases
- image denoising
- low rank
- minimization problems
- total variation
- convex optimization
- denoising
- natural images
- missing data
- regularization term
- linear combination
- noisy images
- partial differential equations
- matrix factorization
- image processing
- nuclear norm
- low rank matrix
- singular value decomposition
- image patches
- matrix completion
- high dimensional data
- norm minimization
- semi supervised
- rank minimization
- texture synthesis
- image deblurring
- objective function
- nonlocal means
- singular values
- high order
- wavelet coefficients
- multiscale
- pairwise
- pattern recognition
- nearest neighbor
- interior point methods
- input image
- higher order
- learning tasks
- machine learning