Low-Rank Total Variation for Image Super-Resolution.
Feng ShiJian ChengLi WangPew-Thian YapDinggang ShenPublished in: MICCAI (1) (2013)
Keyphrases
- low rank
- total variation
- convex optimization
- image restoration
- super resolution
- minimization problems
- low resolution
- denoising
- image denoising
- low rank matrix
- matrix completion
- high resolution
- dictionary learning
- edge preserving
- image patches
- singular value decomposition
- missing data
- matrix factorization
- linear combination
- image processing
- high dimensional data
- noisy images
- image reconstruction
- high order
- natural images
- sparse representation
- higher order
- map estimation
- image segmentation
- data sets
- level set
- markov random field
- image registration
- motion estimation
- optical flow
- object recognition