Single image super-resolution based on sparse representation using dictionaries trained with input image patches.
Rasoul Asgarian DehkordiHossein KhosraviAlireza AhmadyfardPublished in: IET Image Process. (2020)
Keyphrases
- feature vectors
- image patches
- single image super resolution
- sparse representation
- sparse coding
- learned dictionary
- dictionary learning
- input data
- image features
- sparse codes
- image classification
- image super resolution
- face recognition
- signal processing
- training set
- noisy images
- high dimensional data
- compressive sensing
- test images
- natural images
- random projections
- image representation
- face images
- video sequences
- high quality