Advances in Image Processing and Computer Vision
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 1081
Special Issue Editors
Interests: machine learning; deep learning; computer vision
Interests: Computer vision, machine learning, biomedical image and signal processing
Interests: machine learning; computer vision; transformers; medical image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image processing and computer vision is a rapidly evolving field, which focuses on algorithm development, optimisation, and application to enable machines to interpret, analyse, and generate visual data. This domain includes, but is not limited to, the design of novel image processing techniques, evaluation methodologies to determine algorithm performance, and the use of case studies for real-world applications in areas such as, but not limited to, medical imaging and multimedia analysis. Finally and most importantly, this field includes the explainability of image processing and computer vision models that depend on machine learning and deep learning.
The aim of this Special Issue is to explore advances in image processing and computer vision, and we encourage research on state-of-the-art image recognition, object detection, and segmentation techniques and frameworks for benchmarking computer vision algorithms. We also welcome research on the explainability of DL and ML algorithms and interdisciplinary research between image processing, computer vision, and fields such as robotics, healthcare, and environmental monitoring for computer vision and image processing.
We encourage submissions that propose novel methodologies and frameworks, while also implementing and experimentally validating these approaches to ensure their practical applicability, reproducibility, and impact across real-world scenarios.
Topics of interest include, but are not limited to, the following:
- Advanced image processing and enhancement techniques;
- Object detection, recognition, and segmentation methods;
- Deep learning frameworks for image processing and computer vision tasks;
- Benchmarking and evaluation methodologies for vision algorithms;
- Novel benchmarking datasets for these domains;
- Integration of computer vision in autonomous systems and robotics;
- Medical imaging and healthcare applications of image analysis;
- Multimedia analysis and content understanding;
- Human–computer interaction through visual data;
- Interdisciplinary approaches combining image processing and computer vision with other domains;
- Explainable AI.
Dr. John Atanbori
Dr. Farhan Riaz
Dr. Christos Frantzidis
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Electronics 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
- image processing
- computer vision
- machine learning
- deep learning
- explainable AI
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