Lite-SRGAN and Lite-UNet: Toward Fast and Accurate Image Super-Resolution, Segmentation, and Localization for Plant Leaf Diseases.
Hosam S. El-AssioutiHadeer El-SaadawyMaryam N. Al-BerryMohamed F. TolbaPublished in: IEEE Access (2023)
Keyphrases
- image super resolution
- optic disc
- low resolution
- dictionary learning
- super resolution
- segmentation algorithm
- level set
- segmentation method
- image registration
- high resolution
- image segmentation
- image analysis
- multiscale
- maximum a posteriori
- sparse representation
- energy function
- map estimation
- low resolution images
- high quality