A matrix rank minimization-based regularization method for image restoration.
Hui-Yin YanYu-Mei HuangYongchao YuPublished in: Digit. Signal Process. (2022)
Keyphrases
- regularization method
- rank minimization
- image restoration
- low rank
- regularization parameter
- regularization methods
- total variation
- edge preserving
- super resolution
- convex optimization
- image processing
- motion blur
- markov random field
- blurred images
- missing data
- image restoration problems
- linear combination
- high resolution
- high dimensional
- multiscale
- computer vision