Self-Learning Super-Resolution Using Convolutional Principal Component Analysis and Random Matching.
Jian XuMeng LiJiulun FanXiaoqiang ZhaoZhiguo ChangPublished in: IEEE Trans. Multim. (2019)
Keyphrases
- super resolution
- principal component analysis
- low resolution
- high resolution
- image reconstruction
- image restoration
- motion estimation
- low resolution images
- high quality
- motion blur
- video super resolution
- image super resolution
- resolution enhancement
- super resolved
- single frame
- adaptive regularization
- higher resolution
- dense motion estimation
- face images
- image resolution
- super resolution reconstruction
- depth map
- feature points
- dimensionality reduction
- high resolution images
- feature space
- sparse coding
- low dimensional
- single image super resolution
- multi frame
- light field
- image patches
- random projections
- face recognition
- image classification
- optical flow
- video sequences
- feature extraction