Advances in Image, Signal and Video Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 271
Special Issue Editor
Interests: sensor fusion; 3D reconstruction; real-time (3D) video noise reduction and upsampling; computer graphics and artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the last few decades, we have witnessed rapid advancements in digital technologies and their applications in different areas, such as telecommunications, entertainment, medicine, automotive, etc. These rapid developments have been possible thanks to the developments in solid-state semiconductor technology.
Rapid developments in technologies also require algorithms, which support new hardware and the transition from analog to digital signals. These developments have also triggered the development of more powerful digital signal processors, parallelized central processing units and graphic processing units.
In this Special Issue, we will focus on recent advances in signal, image and video processing. A special focus will be given to recent developments in deep neural networks and their applications in signal, image and video processing. We encourage prospective authors to submit their recent work on advancements in the applications of deep neural networks to multi-dimensional signal processing. Possible topics of interest include, but are not limited to, the following:
- Noise reduction in signals, images and video;
- Reconstruction from sparse measurements;
- Signal, image and video coding and compression;
- Feature extraction;
- Fusion of the signals from heterogeneous sensors;
- Upsampling and super-resolution;
- Perception-based quality metrics;
- Depth image and video denoising;
- Depth video super-resolution;
- Medical image processing;
- New deep neural network architectures
- For processing images and video.
The goal of this Special Issue is to demonstrate advances in the above areas enabled by deep neural networks over conventional processing methods. Prospective authors are also encouraged to submit any work that presents a new application of deep neural networks in signal, image and video processing.
Dr. Ljubomir Jovanov
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. Applied Sciences 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
- signal processing
- image processing
- video processing
- deep neural networks
- depth processing
- sensor fusion
