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Intelligent Image and Video Processing: Quality, Compression and Vision Applications

This special issue belongs to the section “Electronic Multimedia“.

Special Issue Information

Dear Colleagues,

Intelligent image and video processing regarding quality, compression and vision applications represent a paradigm shift in signal processing, driven by the synergistic innovation of deep learning and multi-modal fusion technologies. This transformation fundamentally redefines traditional theoretical frameworks and methodological systems, manifesting in three key dimensions: from local optimization to global perception in quality assessment systems, from general-purpose computing to edge intelligence in architectural paradigms, and from single-modal analysis to cross-modal understanding in cognitive approaches.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Image Quality Enhancement Techniques;
  • Low-Light/Super-Resolution Reconstruction;
  • Model Compression Paradigms;
  • Knowledge Distillation Techniques;
  • Visual Inspection and Measurement;
  • Surface Defect Detection;
  • Industrial Anomaly Detection;
  • Vision-Based Industrial Applications.

I/We look forward to receiving your contributions.

Dr. Xian Tao
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 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. 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 quality enhancement techniques
  • low-light/super-resolution reconstruction
  • model compression paradigms
  • knowledge distillation techniques
  • visual inspection and measurement
  • surface defect detection
  • industrial anomaly detection
  • vision-based industrial applications

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Electronics - ISSN 2079-9292