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While there exists a wide variety of Low Dynamic Range (LDR) quality metrics,only a limited number of metrics are designed specifically for the High DynamicRange (HDR) content. With the introduction of HDR video compressionstandardization effort by international standardization bodies, the need for anefficient video quality metric for HDR applications has become more pronounced.The objective of this study is to compare the performance of the existingfull-reference LDR and HDR video quality metrics on HDR content and identifythe most effective one for HDR applications. To this end, a new HDR videodataset is created, which consists of representative indoor and outdoor videosequences with different brightness, motion levels and different representingtypes of distortions. The quality of each distorted video in this dataset isevaluated both subjectively and objectively. The correlation between thesubjective and objective results confirm that VIF quality metric outperformsall to ther tested metrics in the presence of the tested types of distortions.

Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content