Applications and Challenges of Image Processing in Smart Environment

Dear Colleagues,

The purpose of this Special Issue is to explore the latest advancements, applications, and challenges in the field of image processing in the context of smart environments. With the rapid development of digital technology, image processing has become an essential component in various smart systems and applications, revolutionizing industries such as healthcare, transportation, surveillance, and automation.

This Special Issue aims to gather original research papers, reviews, and case studies that address the diverse applications of image processing techniques in smart environments. Topics of interest include, but are not limited to, the following areas:

1. Smart healthcare systems: the use of image processing in medical imaging, disease diagnosis, remote patient monitoring, and personalized treatment;
2. Intelligent transportation systems: the application of image processing for traffic monitoring, vehicle detection and classification, object tracking, and driver assistance systems;
3. Smart surveillance: techniques used in image and video analysis in surveillance applications, including object detection, tracking, behavior recognition, and anomaly detection;
4. Automation and robotics: image processing for object recognition, localization, manipulation, and navigation in autonomous robots and industrial automation;
5. Smart home and Internet of Things (IoT): image processing integration in smart home devices and systems, enabling functions such as facial recognition, activity monitoring, and security systems;
6. Augmented reality and virtual reality: image processing techniques for enhancing the visual experience in AR/VR applications, including object recognition, scene reconstruction, and motion tracking;
7. Multimedia forensics in smart environments: image processing techniques on information security in smart environments, including information hiding, cameral model identification, manipulation detection, and location;
8. Deep learning technologies in smart environments: light model development, model prune, and model deployment technologies for deep learning-based approaches in mobile devices with restricted hardware resources.

This Special Issue will provide a platform for researchers and practitioners to share their innovative work, discuss challenges, and propose future directions in the field of image processing in smart environments. It is expected to contribute to the development of intelligent systems that can perceive and interpret visual information to improve decision-making processes and enhance user experiences in various domains.

Dr. Xinshan Zhu
Dr. Bin Pan
Guest Editors

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