Guest Editors
Prof. Dr. Manuel Curado Navarro
Email: manuel.curado@ua.es
Affiliation: Department of Computer Science and Artificial Intelligence, University of Alicante, Alicante, E-03080, Spain
Homepage:
Research Interests: pattern recognition, machine learning, and computer vision
Summary
The Special Issue "Super-Resolution for Remote Sensing, Medicine and Intelligent Vision Systems" aims to bring together cutting-edge research and novel advancements in super-resolution (SR) techniques that enhance image quality, spatial precision, and visual understanding across diverse application domains. Super-resolution has become a key enabler for intelligent perception, offering improved data interpretation in remote sensing, medical imaging, and computer vision systems. This issue welcomes contributions focusing on theoretical developments, algorithmic innovations, and real-world applications of SR technologies. Topics of interest include deep learning-based SR, multi-modal fusion, data-driven modeling, and intelligent image reconstruction for decision support in complex environments.
Potential Topics:
• Deep learning and transformer-based super-resolution algorithms
• Multi-sensor and multi-modal image fusion for SR
• Super-resolution in medical imaging and diagnostics
• Remote sensing image enhancement and reconstruction
• Real-time SR applications in intelligent vision and autonomous systems
Keywords
super-resolution, deep learning, remote sensing, medical imaging, image reconstruction, intelligent vision, multi-modal fusion
Login
Register
Submit a Paper
Propose a Special lssue