Multi-frame image super resolution based on sparse coding.
Toshiyuki KatoHideitsu HinoNoboru MurataPublished in: Neural Networks (2015)
Keyphrases
- image super resolution
- multi frame
- sparse coding
- dictionary learning
- super resolution
- sparse representation
- image patches
- motion estimation
- natural images
- point correspondences
- low resolution
- image classification
- unsupervised learning
- linear combination
- super resolution reconstruction
- low resolution images
- image sequences
- generative model
- computationally efficient
- image representation
- feature space
- high resolution
- visual words
- motion analysis
- optical flow
- image restoration
- filtering algorithm
- optic flow
- bag of words
- video frames
- high dimensional
- pattern recognition
- high quality
- high resolution images
- multiscale
- feature extraction
- higher order