Guest Editor(s)
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
Prof. Dr. Jose F. Vincent
Email: jvicent@ua.es
Affiliation: Department of Computer Science and Artificial Intelligence, University of Alicante, Alicante, E-03080, Spain
Homepage:
Research Interests: the selection, analysis and visualization of information in a complex network, in the application of artificial intelligence in the field of urban networks as well as in the modeling and simulation of systems with special attention to evolutionary algorithms
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
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