Unified Convex Optimization Approach to Super-Resolution Based on Localized Kernels.
Tamir BendoryShai DekelArie FeuerPublished in: CoRR (2015)
Keyphrases
- convex optimization
- super resolution
- high resolution
- image restoration
- total variation
- low resolution
- image reconstruction
- low resolution images
- kernel methods
- high quality
- super resolution reconstruction
- kernel function
- motion estimation
- convex relaxation
- support vector
- motion blur
- image patches
- feature space
- high resolution images
- multiple kernel learning
- light field
- motion vectors
- depth map
- markov random field