An Optimal Fluid Optical Flow Registration for Super-resolution with Lamé Parameters Learning
Work
Year: 2023
Type: article
Institutions Université Sultan Moulay Slimane, Université Ibn Zohr
Cites: 48
Cited by: 2
Related to: 10
FWCI: 0.466
Citation percentile (by year/subfield): 44.03
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: closed