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Image Quality Assessment on SR dataset (Yang10)

0.968Ours ScoreSR-Metric
0.91960.94380.9680.9922Dec 18, 2016

Evaluation results

MethodLinks
SR-MetricMetric Type=No-reference2016.120.968———————————
BIQIMetric Type=No-reference, Retrained=true2016.12———————0.556————
BLIINDSMetric Type=No-reference, Retrained=true2016.12——0.901—————————
BRISQUEMetric Type=No-reference, Retrained=true2016.12—0.886——————————
CNNIQAMetric Type=No-reference, Retrained=true2016.12————0.943———————
CORNIAMetric Type=No-reference, Retrained=true2016.12———0.908————————
DIVINEMetric Type=No-reference, Retrained=true2016.12——————0.525—————
FSIMMetric Type=Full-reference2016.12——————————0.757—
IFCMetric Type=Full-reference2016.12————————0.866———
NSSAMetric Type=Semi-reference2016.12—————0.036——————
PSNRMetric Type=Full-reference2016.12———————————0.625
SSIMMetric Type=Full-reference2016.12—————————0.649——