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Image Quality Assessment on SR dataset (Glasner09)

0.931Model ScoreSR-Metric
0.884450.9077250.9310.954275Dec 18, 2016

Evaluation results

MethodLinks
SR-MetricMetric Type=No-reference2016.120.931———————————
BIQIMetric Type=No-reference, Retrained=true2016.12———————0.523————
BLIINDSMetric Type=No-reference, Retrained=true2016.12——0.862—————————
BRISQUEMetric Type=No-reference, Retrained=true2016.12—0.738——————————
CNNIQAMetric Type=No-reference, Retrained=true2016.12————0.914———————
CORNIAMetric Type=No-reference, Retrained=true2016.12———0.918————————
DIVINEMetric Type=No-reference, Retrained=true2016.12——————0.426—————
FSIMMetric Type=Full-reference2016.12——————————0.778—
IFCMetric Type=Full-reference2016.12————————0.89———
NSSAMetric Type=Semi-reference2016.12—————0.325——————
PSNRMetric Type=Full-reference2016.12———————————0.605
SSIMMetric Type=Full-reference2016.12—————————0.648——