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Image Quality Assessment on SR dataset (Yang13)

95.8OursSR-Metric
91.0193.40595.898.195Dec 18, 2016

Evaluation results

MethodLinks
SR-MetricMetric Type=No-reference2016.1295.8———————————
BIQIMetric Type=No-reference, Retrained=true2016.12———————0.646————
BLIINDSMetric Type=No-reference, Retrained=true2016.12——0.864—————————
BRISQUEMetric Type=No-reference, Retrained=true2016.12—0.784——————————
CNNIQAMetric Type=No-reference, Retrained=true2016.12————0.927———————
CORNIAMetric Type=No-reference, Retrained=true2016.12———0.923————————
DIVINEMetric Type=No-reference, Retrained=true2016.12——————0.537—————
FSIMMetric Type=Full-reference2016.12——————————75.6—
IFCMetric Type=Full-reference2016.12————————0.87———
NSSAMetric Type=Semi-reference2016.12—————0.168——————
PSNRMetric Type=Full-reference2016.12———————————0.62
SSIMMetric Type=Full-reference2016.12—————————63.1——