Computer Vision and Image Processing: Advances and Challenges
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computer Vision and Pattern Recognition".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 23
Special Issue Editors
Interests: computer vision; multimedia content understanding and generation; cross-media reasoning
Interests: machine learning; 3D scene reconstruction; visual semantic segmentation
Special Issue Information
Dear Colleagues,
We are now in an era in which computer vision and image processing are fundamentally transforming how machines perceive and understand the visual world. Driven by advances in artificial intelligence, enhanced sensor capabilities, and growing computational power, these technologies now enable systems to interpret complex scenes, analyze intricate patterns, and generate realistic imagery with remarkable accuracy. They form the foundation for a wide spectrum of critical applications, from autonomous driving and medical imaging to surveillance, augmented reality, and multimedia content creation. Yet, this rapid evolution also presents substantial challenges, including ensuring robustness in uncontrolled environments, developing interpretable and trustworthy models, managing large-scale visual data efficiently, and addressing the ethical and privacy concerns inherent in pervasive visual analysis.
In response, the research community continues to push the boundaries across all stages of the imaging pipeline. Innovations span novel algorithms in deep learning, self-supervised and few-shot learning, 3D vision, generative models (AIGC), and multimodal fusion. The pursuit extends beyond raw performance, emphasizing computational efficiency, model generalizability across domains, and practical usability in human-centric applications.
Given this scope, computer vision and image processing have become indispensable enabling technologies. They provide the core intelligence for systems requiring real-time decision-making, deep analytical insight from visual data, and the creation of interactive digital experiences. Their continued advancement is crucial to both technological innovation and addressing complex societal needs.
This Special Issue, titled “Computer Vision and Image Processing: Advances and Challenges”, aims to curate a diverse collection of high-quality research articles and reviews. We welcome contributions that present significant methodological advances, innovative applications, and critical discussions on persistent challenges and emerging trends, thereby offering a comprehensive overview of the current landscape and future directions in this dynamic field.
Dr. Shengeng Tang
Dr. Lechao Cheng
Dr. Weidong Chen
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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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
- image processing
- deep learning
- self-supervised
- few-shot learning
- 3D vision
- generative models (AIGC)
- multimodal fusion
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