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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Detalles Bibliográficos
Autores principales: Song, Tianshu, Li, Leida, Zhu, Hancheng, Qian, Jiansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566698/
https://www.ncbi.nlm.nih.gov/pubmed/34744610
http://dx.doi.org/10.3389/fnins.2021.739138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566698/
https://www.ncbi.nlm.nih.gov/pubmed/34744610
http://dx.doi.org/10.3389/fnins.2021.739138

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