Novel Approaches to Image Quality Assessment
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 30 April 2025 | Viewed by 1907
Special Issue Editors
Interests: computer vision; deep learning; image/video quality assessment; image/video aesthetic assessment; image enhancement; face analysis
Special Issue Information
Dear Colleagues,
In the ever-evolving landscape of digital imaging, the demand for accurate and meaningful evaluation of image quality resonates across diverse applications, from medical diagnostics to social media. The importance of robust Image Quality Assessment (IQA) methodologies cannot be overstated in this context. This Special Issue serves as a pivotal platform for showcasing cutting-edge research, driving forward our understanding and methodologies for appraising the perceptual quality of images in an ever-evolving landscape.
Within this collection, articles explore groundbreaking concepts that transcend traditional paradigms, delving into the dichotomy between opinion-aware and unaware IQA. Recognizing the inherent subjectivity in human perception, models that account for this subjectivity are emphasized. Furthermore, the issue addresses the imperative for explainable IQA, enhancing trustworthiness and adoption in real-world applications through improved interpretability of assessment models.
Embracing the dynamism of the field, this Special Issue tackles challenges through innovative lenses, spanning multi-modal IQA, contrastive learning strategies, and self-supervised approaches. Streamlining the assessment process with a focus on efficiency is a key objective, while personalized IQA strategies acknowledge the variability in individual preferences and perceptual thresholds.
Encompassing the evaluation of images generated through various means, from synthesized to enhanced, this issue reflects the breadth of contemporary imaging technologies. With a comprehensive exploration of these areas, we aim to lay the foundation for the future of IQA research, offering insights into emerging challenges and opportunities. The confluence of these novel approaches not only enhances our ability to quantify image quality but also propels the field towards a more nuanced and adaptive era of visual perception assessment.
We invite contributions presenting techniques that will shape the future roadmap of IQA, including methods, tools, and ideas contributing to significantly innovative objectives. Scientifically founded innovative and speculative research lines are welcomed for proposal and evaluation, as we collectively strive to advance the frontier of IQA techniques.
Topics of Interest:
- Image and video quality assessment:
- Full-/Reduced-/No- Reference quality assessment;
- Multi-modal quality assessment;
- Generated content quality assessment.
- Aesthetic assessment of image:
- Personalized aesthetic assessment;
- Multi-modal aesthetic assessment.
- Image enhancement.
- Image/Video memorability assessment.
- Image/Video sentiment analysis.
Dr. Luigi Celona
Dr. Hanhe Lin
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. 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 assessment
- opinion aware/unaware image quality assessment
- explainable image quality assessment
- multi-modal image quality assessment
- contrastive learning for image quality assessment
- self-supervised for image quality assessment
- efficient image quality assessment
- image quality assessment for image enhancement
- image quality assessment of synthetized/generated images
- personalized image quality assessment
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