SRNMSM: A Deep Light-Weight Image Super Resolution Network Using Multi-Scale Spatial and Morphological Feature Generating Residual Blocks.
Alireza EsmaeilzehiM. Omair AhmadM. N. S. SwamyPublished in: IEEE Trans. Broadcast. (2022)
Keyphrases
- lightweight
- image super resolution
- multiscale
- wireless sensor networks
- communication infrastructure
- low resolution
- super resolution
- dictionary learning
- high resolution
- spatial information
- image processing
- scale space
- feature vectors
- computer vision
- object detection
- image reconstruction
- communication networks
- low resolution images
- sparse representation
- image patches
- edge preserving
- image features
- map estimation
- kernel regression