Advancements in Deep Image Restoration and Understanding of Low-Quality Images: Technologies and Applications in Sensing Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 10 July 2025 | Viewed by 682
Special Issue Editors
Interests: deep learning; computer vision; image restoration; low-level vision; image enhancemenent
Interests: computer vision; deep learning; spatial–temporal modelling
Special Issues, Collections and Topics in MDPI journals
Interests: image enhancement and restoration; deep learning; weakly supervised learning; multimodal reasoning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Deep image restoration and understanding play a crucial role in enhancing the performance of modern sensing systems by improving the quality and interpretability of visual data captured by various sensors. The increasing deployment of imaging sensors in applications such as medical diagnostics, environmental monitoring, autonomous systems, and security has underscored the importance of restoring degraded images and extracting meaningful information under challenging conditions.
Advancements in deep learning technologies have significantly transformed this field, enabling the development of robust methods that address noise, blur, low resolution, and other distortions inherent to sensor-captured images. Of particular interest is the integration of deep neural networks with sensor data, leading to novel solutions that enhance image quality and understanding in resource-constrained and real-time environments. For instance, incorporating few-shot learning techniques has demonstrated the potential to generalize across limited sensor datasets, paving the way for efficient and scalable implementations.
This Special Issue aims to highlight cutting-edge research in deep image restoration and understanding within the context of sensing technologies. We invite contributions that explore innovative deep learning methodologies, theoretical advancements, and practical applications, particularly in sensor-driven fields such as medical imaging, remote sensing, smart cities, and autonomous systems.
By emphasizing the interplay between sensor technologies and deep learning, this Special Issue seeks to provide a comprehensive platform for advancing state-of-the-art solutions that enhance the functionality and reliability of imaging sensors in diverse applications
Dr. Kaihao Zhang
Dr. Yanbin Liu
Dr. Xin Yu
Guest Editors
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Keywords
- deep learning
- computer vision
- image processing
- image analysis
- image enhancement and restoration
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