Multi-Matrices Low-Rank Decomposition With Structural Smoothness for Image Denoising.
Hengyou WangYang LiYigang CenZhihai HePublished in: IEEE Trans. Circuits Syst. Video Technol. (2020)
Keyphrases
- image denoising
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- denoising
- data matrix
- total variation
- convex optimization
- natural images
- singular values
- noisy images
- tensor decomposition
- missing data
- matrix factorization
- low rank and sparse
- linear combination
- image processing
- rank minimization
- kernel matrix
- high order
- semi supervised
- high dimensional data
- wavelet coefficients
- binary matrix
- nuclear norm
- wavelet packet
- sparse matrix
- minimization problems
- object recognition
- multiscale
- higher order
- augmented lagrangian
- principal component analysis
- primal dual