SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation
The authors introduced 'artifact prominence,' measuring how often viewers notice an image artifact, moving beyond simple presence/absence. They built SR-Prominence, a dataset of 3,935 masks annotated with this metric from crowdsourced evaluations across multiple datasets. This allows researchers to evaluate super-resolution methods based on actual perceptual impact rather than just binary defect detection.