IE-IQA: Intelligibility Enriched Generalizable No-Reference Image Quality Assessment

IE-IQA: Intelligibility Enriched Generalizable No-Reference Image Quality Assessment

Image quality assessment (IQA) for authentic distortions in the wild is challenging. Though current IQA metrics have achieved decent performance for synthetic distortions, they still cannot be satisfactorily applied to realistic distortions because of the generalization problem. Improving generaliza...

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Bibliographic Details
Main Authors: Tianshu Song, Leida Li, Hancheng Zhu, Jiansheng Qian
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Neuroscience
Subjects:
image quality assessment
NR-IQA
intelligibility
distortion
generalization
semantic
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.739138/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.739138/full

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