Emerging Domains in Computational Imaging and Computational Photography
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computational Imaging and Computational Photography".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 8
Special Issue Editor
Interests: deep learning; medical imaging; image processing; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of computational imaging and computational photography has revolutionized how we capture, process, and interpret visual information. By synergizing advanced algorithms, novel optical designs, and data-driven methodologies, these fields are transcending the traditional boundaries of imaging systems. Recent advancements in deep learning, neural rendering, and physics-inspired models have further accelerated progress, enabling unprecedented capabilities in image reconstruction, enhancement, and semantic understanding.
Emerging applications span diverse domains, including medical imaging (e.g., accelerated MRI/CT reconstruction, low-dose imaging, and microscopic image analysis), autonomous systems, augmented/virtual reality, remote sensing, and industrial inspection. In medical imaging, computational techniques are addressing critical challenges such as artifact reduction, super-resolution reconstruction, and automated diagnosis, while deep learning frameworks are reshaping image acquisition pipelines and enabling real-time analysis. Beyond healthcare, innovations in event-based sensing, non-line-of-sight imaging, and multi-modal fusion are pushing the frontiers of visual perception.
This Special Issue invites contributions that explore cutting-edge methodologies, interdisciplinary applications, and theoretical insights in computational imaging and photography. Topics of interest include, but are not limited to, image reconstruction/analysis, physics-informed neural networks, generative models for image synthesis, computational optics, and ethical considerations in AI-driven imaging.
Dr. Rongjun Ge
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. 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
- deep learning/machine learning
- computational imaging
- computational photography
- medical image reconstruction/analysis
- neural rendering
- multi-modal imaging
- image enhancement/segmentation/detection
- generative models
- AI-driven imaging
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