HDR-VQM: An Objective Quality Measure for High Dynamic Range Video

Manish Narwaria 1 Matthieu Perreira da Silva 1 Patrick Le Callet 1
1 irccyn-ivc
IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : High Dynamic Range (HDR) signals fundamentally differ from the traditional low dynamic range (LDR) ones in that pixels are related (proportional) to the physical luminance in the scene (i.e. scene-referred). For that reason, the existing LDR video quality measurement methods may not be directly used for assessing quality in HDR videos. To address that, we present an objective HDR video quality measure (HDR-VQM) based on signal pre-processing, transformation, and subsequent frequency based decomposition. Video quality is then computed based on a spatio-temporal analysis that relates to human eye fixation behavior during video viewing. Consequently, the proposed method does not involve expensive computations related to explicit motion analysis in the HDR video signal, and is therefore computationally tractable. We also verified its prediction performance on a comprehensive, in-house subjective HDR video database with 90 sequences, and it was found to be better than some of the existing methods in terms of correlation with subjective scores (for both across sequence and per sequence cases). A software implementation of the proposed scheme is also made publicly available for free download and use. Index Terms High Dynamic Range (HDR) video quality, objective quality, spatio-temporal analysis.
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Manish Narwaria, Matthieu Perreira da Silva, Patrick Le Callet. HDR-VQM: An Objective Quality Measure for High Dynamic Range Video. Signal Processing: Image Communication, Elsevier, 2015, 35, pp.46-60. ⟨10.1016/j.image.2015.04.009⟩. ⟨hal-01149516⟩

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