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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...
Autores principales: | Song, Tianshu, Li, Leida, Zhu, Hancheng, Qian, Jiansheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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