Advances in Computer Vision and Digital Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 70
Special Issue Editor
Interests: biomarkers; Alzheimer’s disease; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision and digital image processing are vital to intelligent systems, empowering machines to interpret and interact with the visual world. Rapid advances in artificial intelligence, edge computing, and sensor technologies are driving innovation across domains like healthcare, manufacturing, agriculture, security, and autonomous systems. Vision-based applications now match or even surpass human performance in specialized areas such as medical diagnosis and surveillance.
Recent breakthroughs include transformer-based vision models, which leverage attention mechanisms from natural language processing to achieve state-of-the-art results. Self-supervised learning is also reshaping the field by enabling models to learn from unlabeled data, reducing the need for manual annotation. Furthermore, edge computing brings powerful image analysis to resource-constrained devices, supporting real-time applications in smartphones, drones, and more. Additionally, generative AI is pushing boundaries in content synthesis, image augmentation, and reconstruction.
Topics of interest include, but are not limited to, the following:
- Image and video analysis;
- Two-dimensional and three-dimensional object detection and recognition;
- Medical image processing;
- Deep learning and neural networks for vision;
- Scene understanding and segmentation;
- Multimodal data fusion;
- Real-time and embedded vision systems;
- Vision-based human–computer interaction;
- Generative AI for image synthesis and processing;
- Industrial and biomedical vision applications.
The Special Issue, “Advances in Computer Vision and Digital Image Processing”, aims to bring together cutting-edge research and recent developments in the field of computer vision and image processing. Original research papers are strongly encouraged, while review articles and surveys are also welcome. We seek contributions that highlight novel algorithms, efficient methods, and emerging techniques, as well as interdisciplinary approaches that demonstrate the practical impact of vision systems in real-world scenarios.
Prof. Dr. Panayiotis Vlamos
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- digital image processing
- deep learning
- object detection
- image segmentation
- generative AI
- medical imaging
- scene understanding
- multimodal data fusion
- embedded vision systems
- human–computer interaction
- real-time image analysis
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