What is it about?
Over the past 5 years, several methods have attempted to solve the SI-HDR problem and each successive method claims to improve the state-of-the-art by showing better automatic quality metric scores. We compare the methods in a subjective experiment and improve the reliability of these metrics.
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Why is it important?
Our findings show that human observers do not really agree with widely-used metrics for evaluating SI-HDR methods. We introduce a new evaluation dataset and protocol to benchmark future works.
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This page is a summary of: Comparison of single image HDR reconstruction methods — the caveats of quality assessment, August 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3528233.3530729.
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