IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment

IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment

In an era dominated by visual content, perceptual image quality assessment (IQA) is crucial for enhancing user experiences and driving technological advancements across various domains. This survey paper reviews the integration of Vision Transformers (ViTs) into both no-reference (NR) and full-refer...

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Bibliographic Details
Main Authors: Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Perceptual image quality assessment (IQA)
vision transformers (ViTs)
transformer architectures
deep learning for IQA
multimedia applications
cross-domain evaluation
Online Access:https://ieeexplore.ieee.org/document/10767243/
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