Advances in Image Processing and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 68
Editors
Interests: image processing; artificial intelligence theory; intelligent optimization and high-dimensional information processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advances in image processing and machine learning, with particular emphasis on mathematical models, intelligent algorithms, and interdisciplinary applications. Modern image analysis increasingly relies on the integration of data-driven learning frameworks and model-based methodologies to address complex visual tasks arising in medical imaging, remote sensing, computational photography, digital heritage preservation, intelligent manufacturing, and scientific imaging. The aim of this Special Issue is to provide a platform for researchers to present innovative theories, algorithms, and applications related to image restoration, enhancement, segmentation, reconstruction, generation, multimodal learning, visual understanding, inverse problems, optimization methods, and explainable artificial intelligence for imaging systems. Contributions involving deep learning, diffusion models, transformer architectures, physics-informed learning, variational methods, sparse and low-rank modeling, and PDE-based image analysis are particularly welcome. By bringing together researchers from mathematics, computer vision, artificial intelligence, and applied sciences, this Special Issue seeks to promote both theoretical developments and practical innovations in next-generation intelligent image processing technologies.
Prof. Dr. Qiyu Jin
Guest Editor
Dr. Yu Guo
Guest Editor Assistant
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics 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 2600 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
- machine learning
- computer vision
- deep learning
- image reconstruction
- artificial intelligence
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