Next-Generation Intelligent Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 70
Special Issue Editors
Interests: image processing; clustering; fuzzy reasoning; machine learning; affective computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent image processing is an interdisciplinary field that integrates computer vision, artificial intelligence, and digital image processing. This next-generation intelligent image processing refers to a comprehensive technical paradigm that utilizes advanced artificial intelligence (especially generative artificial intelligence and multimodal large models), cloud computing, and edge computing technologies to enable computers not only to see images but also to understand their semantic content, and on this basis, create, enhance, edit, and make decisions. This is an intelligent system that integrates perception, understanding, generation, and interaction for images. This reflects the future development trend of the image processing field. The application scenarios of next-generation intelligent image processing include design, film and television, games, medical imaging, autonomous driving, security, remote sensing, consumer electronics, and so forth.
We aim to explore, analyze, and summarize the latest progress and future trends of next-generation intelligent image processing, so as to attempt to make substantive progress in this field. Specifically, we aim to conduct an in-depth analysis of the mechanisms of next-generation intelligent image processing, discover its theoretical basis and core methods, and explore its application models. To achieve this goal, this Special Issue of Electronics welcomes original research and review papers on all aspects of next-generation intelligent image processing. The main scope includes, but is not limited to, the following:
- Feature extraction;
- Image classification;
- Object detection;
- Image generation;
- Multimodal large models;
- Clustering analysis and evaluation;
- Granular computing;
- Affective computing;
- Intelligent robots;
- Intelligent reasoning;
- Semantic understanding and generation;
- Video generation and editing;
- AI-powered video processing.
Prof. Dr. Yiming Tang
Dr. Liu Liu
Guest Editors
Manuscript Submission Information
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Keywords
- image segmentation
- image denoising
- object recognition
- deep learning
- large model
- machine learning
- emotion recognition
- semantic generation
- video generation
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