Digital Signal and Image Processing for Multimedia Technology, 2nd Edition
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 13
Special Issue Editors
Interests: artificial intelligence; machine learning; deep learning; virtual reality
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; image processing; biometrics; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the first edition, we are proud to present the second edition of the Special Issue titled "Digital Signal and Image Processing for Multimedia Technology".
Determining how to employ deep learning technology has become a primary research topic in numerous fields. These include, for example, image processing, computer vision, the Internet of Things, natural language processing, and multimedia processing. In addition, due to the increasing process power of electronic devices and the expansion of network transmission bandwidth, deep learning models are now increasingly embedded in various edge devices for application in several fields, such as automobiles, transportation, education, and manufacturing to name a few.
For Special Issue, we invite authors to submit original research articles and review articles related to the application of deep learning techniques in image processing and edge devices.
We are looking for papers discussing a wide range of ideas, including deep learning for image analysis problems, novel algorithms for applying deep learning to various computer vision domains, and innovative methods for porting deep learning models to edge devices.
Topics of interest in this Special Issue include, but are not limited to, the following:
- Machine learning and deep learning for image processing and computer vision;
- Deep learning algorithms for clustering and classification;
- Deep learning algorithms for segmentation and data annotation;
- Embedded multimedia applications for edge computing;
- Novel applications in robotic vision and intelligent consumer electronics;
- Application architecture of AI-based systems.
Dr. Chi-hung Chuang
Prof. Dr. Chih-Lung Lin
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 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. 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
- deep learning
- neural network
- artificial intelligence
- multimedia processing
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