Special Issue "Multidimensional Signal Processing and Deep Learning—Symmetry Approach"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer Science and Symmetry/Asymmetry".

Deadline for manuscript submissions: 15 December 2023 | Viewed by 76

Special Issue Editors

Faculty of Telecommunications, Department of Radio Communications and Video Technologies, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: 3D image representation; image compression; medical image enhancement; pattern recognition; 3D signal processing; image watermarking; deep learning
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Faculty of Telecommunications, Department of Radio Communications and Video Technologies, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: image processing; multidimensional signal processing; pattern recognition; programming; digital signage systems
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TK Engineering, 1712 Sofia, Bulgaria
Interests: image processing; image compression and watermarking; CNCs; programmable controllers
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Special Issue Information

Dear Colleagues,

Multidimensional (MD) signal processing covers various signals (video, audio, X-ray, multispectral, multi-view, and many others), transferred via contemporary communication systems and networks, and analyzed in medical institutions, traffic control systems, forensic investigations, etc. The objective of this SI is to collect and present contemporary research and achievements in the area of the MD signal processing, aimed at multidisciplinary fields of study: analysis and recognition of MD images, compression, and super-resolution; efficient transfer of MD images; MD computer vision; learning of deep neural networks for MD image processing; generic and fuzzy segmentation of objects in MD images, extraction of MD images from databases; intelligent processing of multispectral and multi-view images; web-based search of MD images; forensic and medical analysis; MD image interpolation; visualization; virtual and augmented reality, based on the concept for processing MD signals, using the symmetrical properties of their contents and structure. All these analyses and research topics will be the basis for various applications in the related scientific areas.

Prof. Dr. Roumen Kountchev
Dr. Rumen Mironov
Dr. Roumiana Kountcheva
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. Symmetry 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 2000 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.


  • symmetry
  • multidimensional signal processing
  • deep learning
  • deep neural tensor network
  • tensor image decomposition
  • medical information systems
  • telecommunications
  • 3D computer vision
  • bioinformatics
  • remote ecological monitoring

Published Papers

This special issue is now open for submission.
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