MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration.
Hongyang LuSanqian LiQiegen LiuMinghui ZhangPublished in: Neurocomputing (2018)
Keyphrases
- image restoration
- low rank
- matrix factorization
- trace norm
- high order
- modified hopfield neural network
- total variation
- edge preserving
- missing data
- convex optimization
- collaborative filtering
- markov random field
- linear combination
- recommender systems
- super resolution
- image processing
- regularization parameter
- nonnegative matrix factorization
- kernel matrix
- structure tensor
- gaussian noise
- semi supervised
- negative matrix factorization
- singular value decomposition
- higher order
- high dimensional data
- small number
- image deblurring
- edge detection
- minimization problems
- motion blur
- image reconstruction
- blurred images
- motion estimation
- pairwise
- regularization methods
- computational complexity
- similarity measure