You are currently viewing a new version of our website. To view the old version click .

Image and Video Quality Assessment

This special issue belongs to the section “Image and Video Processing“.

Special Issue Information

Dear Colleagues,

With the advancement of technology. the need to automatically evaluate the quality of images and videos has become an important part of most image processing and computer vision applications. While current objective image and video quality metrics have shown high correlation with subjective scores, nevertheless, there exist huge room for improvement. This includes but is not limited to difference in the performance of metrics across various datasets and distortions, dealing with multiple distortions, run-time performance, memory requirements, etc. 

In this Special Issue, we aim to address these issues. We encourage contributions presenting methods, techniques, tools, and ideas on how the state-of-the-art could be advanced. We seek original contributions in image and video quality assessment, but not limited to the following:

  • Large scale datasets for image and video quality assessment;
  • Novel methods for subjective evaluations (in particular crowdsourcing);
  • Objective image and video quality assessment;
  • Image and video quality enhancement;
  • Human perception;
  • Aesthetic quality assessment of image and videos;
  • Image and video quality assessment for different environments, including but not limited to printing, virtual reality, high dynamic range, displays, video conferencing, etc.;
  • Medical image and video quality assessment.

Dr. Seyed Ali Amirshahi
Dr. Mekides Assefa Abebe
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. Journal of Imaging 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 1800 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
  • video quality
  • quality assessment
  • human visual system
  • quality enhancement
  • subjective datasets

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X