"Lite-SRGAN and Lite-UNet: Toward Fast and Accurate Image Super-Resolution, ..."

Hosam S. El-Assiouti et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2023.3289750

access: open

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/ElAssioutiEAT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/ElAssioutiEAT23
Hosam S. El-Assiouti, Hadeer El-Saadawy, Maryam N. Al-Berry, Mohamed F. Tolba:
Lite-SRGAN and Lite-UNet: Toward Fast and Accurate Image Super-Resolution, Segmentation, and Localization for Plant Leaf Diseases. IEEE Access 11: 67498-67517 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.