How does the Low-Rank Matrix Completion Help Internal and External Learnings for Super-Resolution.
Shuang WangBo YueXuefeng LiangPeiyuan JiLicheng JiaoPublished in: CoRR (2016)
Keyphrases
- super resolution
- matrix completion
- low rank
- high resolution
- convex optimization
- linear combination
- missing data
- matrix factorization
- rank minimization
- image restoration
- low rank matrix
- singular value decomposition
- high order
- high quality
- motion estimation
- norm minimization
- semi supervised
- motion blur
- kernel matrix
- high dimensional data
- singular values
- low rank matrices
- collaborative filtering
- least squares
- trace norm
- light field
- pairwise comparison
- denoising
- image segmentation
- computer vision