No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection

We propose an anomaly detection based image quality assessment method which exploits the correlations between feature maps from a pre-trained Convolutional Neural Network (CNN). The proposed method encodes the intra-layer correlation through the Gram matrix and then estimates the quality score combi...

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Detalles Bibliográficos
Autores principales: Leonardi, Marco, Napoletano, Paolo, Schettini, Raimondo, Rozza, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867270/
https://www.ncbi.nlm.nih.gov/pubmed/33540652
http://dx.doi.org/10.3390/s21030994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867270/
https://www.ncbi.nlm.nih.gov/pubmed/33540652
http://dx.doi.org/10.3390/s21030994

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