Image Processing: Technologies, Methods, Apparatus
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 66
Special Issue Editors
Interests: Image processing
Interests: image processing; bioinformatics; AI
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia security; multimedia signal processing; image compression; watermark technology; steganography; multimedia database
Special Issues, Collections and Topics in MDPI journals
2. Department of Software Convergence, Andong National University, 1375 Gyeongdong-ro, Andong-si 36729, Gyeongsangbuk-do, Republic of Korea
Interests: information hiding; image security; visual symmetry; hybrid steganography; right-most digit replacement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image processing is a basic tool for monitoring information in many everyday systems, such as cell phones, digital photography, the autonomous vehicle market, homeland security, and much more.
The wide distribution of optical sensors coincides with the ability to monitor information from different spectral fields and to process a lot of information in real-time.
Recently, the field of AI has also been applied to image processing in order to extract information inherent in optical systems.
Image processing is at the forefront of technological research, with significant breakthroughs. Several leading research directions can be noted, as reflected in publications in recent years:
(1) Increasing the sensing rate and the frame rate.
(2) Control of the optical spectrum, including information fusion.
(4) Self-processing in the detector.
(6) Image processing of SPAD and Lidar-based detectors.
(7) Image processing in space or marine environment.
Within this background, this Special Issue aims to provide a concise collection of studies dealing with image processing and provide important information to scientists and stakeholders for the development of technologies and systems based on sensors. Studies dealing with one or more of the following technologies are welcome: detector information extraction, multispectral analysis, and event-based detection. Furthermore, the physical modeling and deep learning-based analysis of data and data fusion techniques is highly encouraged for submission.
Articles and review articles may address, but are not limited to, the following topics:
- Novel algorithms for image enhancement, segmentation, and recognition;
- Machine learning and AI applications in image processing;
- Computational imaging techniques;
- Hardware and software innovations for image acquisition and analysis;
- Biomedical, industrial, and security applications of image processing;
- High-rate detector and an event detector.
Dr. Benjamin Milgrom
Prof. Dr. Andrei Doncescu
Prof. Dr. Cheonshik Kim
Prof. Dr. Ki-Hyun Jung
Guest Editors
Manuscript Submission Information
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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.
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Keywords
- image processing
- algorithms
- machine learning
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