Partial least-squares regression on common feature space for single image superresolution.
Songze TangLiang XiaoPengfei LiuHuicong WuPublished in: J. Electronic Imaging (2014)
Keyphrases
- single image
- super resolution
- partial least squares regression
- feature space
- low resolution
- high resolution
- image reconstruction
- image restoration
- d scene
- multiple images
- high quality
- image pairs
- mean shift
- neural network
- low resolution images
- feature vectors
- high dimensional
- motion estimation
- principal component analysis
- low dimensional
- high resolution images
- feature extraction
- shape from shading
- light source
- dimensionality reduction
- image representation
- data points
- feature selection
- depth map
- scene geometry
- training set
- image retrieval
- motion blur
- multi frame
- higher order
- computational complexity
- computer vision
- multiresolution