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...

Full description

Bibliographic Details
Main Authors: Marco Leonardi, Paolo Napoletano, Raimondo Schettini, Alessandro Rozza
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/3/994