Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction.
Jun-Bao LiHuan-Yu LiuJeng-Shyang PanHongxun YaoPublished in: Biomed. Signal Process. Control. (2018)
Keyphrases
- training samples
- super resolution
- image super resolution
- learning algorithm
- sparse representation
- dictionary learning
- single image super resolution
- image reconstruction
- high resolution
- sparse coding
- low resolution
- high resolution images
- high dimensional
- fundamental limits
- image registration
- signal reconstruction
- super resolution reconstruction
- compressive sensing
- supervised learning
- training data
- training set
- reconstructed image
- feature space
- higher resolution
- number of training samples
- training examples
- low resolution images
- reconstruction error
- test sample
- face images
- resolution enhancement
- image patches
- reconstruction method
- multi frame
- motion estimation
- high quality
- maximum a posteriori
- face recognition
- low dimensional
- image classification
- machine learning
- active learning
- multiscale
- signal processing
- base classifiers
- feature extraction
- pairwise
- linear combination
- image representation
- learning process
- natural images
- multiresolution