Performance and robustness of HDR objective quality metrics in the context of recent compression scenarios

Abstract : The new High Dynamic Range (HDR) technologies intend to increase the immersiveness and quality of experience of the observers thanks to much larger luminance and contrast characteristics. This increase of the amount of information requires the development of new sophisticated compression algorithms. Moreover, well-known objective quality metrics designed for Low Dynamic Range (LDR) systems may not be directly used for assessing HDR videos. To address this issue, several different ways have been proposed. However, their performance and robustness in the context of the most recent HDR compression software solutions need to be assessed and validated on various types of content. In this paper, four objective metrics are benchmarked from data obtained in a new subjective test conducted on various HDR video sequences.
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Toinon Vigier, Lukáš Krasula, Aurélien Milliat, Matthieu Perreira da Silva, Patrick Le Callet. Performance and robustness of HDR objective quality metrics in the context of recent compression scenarios. Digital Media Industry and Academic Forum 2016, Jul 2016, Santorini, Greece. pp.59 - 64, ⟨10.1109/DMIAF.2016.7574903⟩. ⟨hal-01438385⟩

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