  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 Dynamic
Range (HDR) content. With the introduction of HDR video compression
standardization effort by international standardization bodies, the need for an
efficient video quality metric for HDR applications has become more pronounced.
The objective of this study is to compare the performance of the existing
full-reference LDR and HDR video quality metrics on HDR content and identify
the most effective one for HDR applications. To this end, a new HDR video
dataset is created, which consists of representative indoor and outdoor video
sequences with different brightness, motion levels and different representing
types of distortions. The quality of each distorted video in this dataset is
evaluated both subjectively and objectively. The correlation between the
subjective and objective results confirm that VIF quality metric outperforms
all to ther tested metrics in the presence of the tested types of distortions.
