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Fine-grained subjective visual quality assessment for high-fidelity compressed images

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Testolina, Michela, Jenadeleh, Mohsen, Mohammadi, Shima, Su, Shaolin, Ascenso, Joao, Ebrahimi, Touradj, Sneyers, Jon, Saupe, Dietmar
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
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