How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution.
Shuang WangBo YueXuefeng LiangLicheng JiaoPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- super resolution
- matrix decomposition
- low rank
- high resolution
- low resolution
- low rank matrix
- linear combination
- missing data
- convex optimization
- singular value decomposition
- matrix factorization
- image reconstruction
- image restoration
- high order
- motion estimation
- kernel matrix
- motion blur
- high dimensional data
- high quality
- semi supervised
- nonnegative matrix factorization
- data matrix
- singular values
- image processing
- dimensionality reduction
- image patches
- higher order
- principal component analysis
- high dimensional
- pattern recognition
- image sequences