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Symmetry-Aware Methods in Image Processing and Computer Vision

This special issue belongs to the section “Computer“.

Special Issue Information

Dear Colleagues,

Recent advances in image processing and computer vision, driven by improved image acquisition and intelligent devices, have enabled wide real-world applications and rapid progress in symmetry-aware techniques. By exploiting geometric symmetry and invariance, modern methods achieve improved efficiency, robustness, and accuracy in visual analysis.

Deep learning, particularly symmetry-aware neural networks, has significantly advanced image processing and computer vision by leveraging large-scale data. However, these models often require substantial computational resources, limiting their deployment in real-time and resource-constrained environments. To overcome these challenges, lightweight and efficient network architectures that incorporate symmetry have gained increasing attention.

This Special Issue focuses on recent developments in symmetry-aware and lightweight methods for fast image processing and computer vision. We welcome original research contributions on topics including, but not limited to, the following:

  • Symmetry-aware and lightweight deep neural networks.
  • Fast image restoration, including denoising, super-resolution, and deblurring.
  • Efficient object detection and image segmentation.
  • Fast and symmetry-aware image style transfer.
  • Secure and privacy-preserving image processing using cryptography.
  • Homomorphic encryption and secure deep learning for images.
  • Image authentication, watermarking, and tamper detection for security.
  • Real-time secure image and video processing on resource-constrained devices.

We look forward to receiving your contributions and to fostering further advances in symmetry-aware image processing and computer vision.

Prof. Dr. Nabil El Akkad
Prof. Dr. Mostafa Merras
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 250 words) can be sent to the Editorial Office for assessment.

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 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

  • symmetry-aware methods
  • image processing
  • deep learning
  • lightweight neural networks
  • super-resolution
  • image denoising

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Symmetry - ISSN 2073-8994