HDR Image and Video Quality Prediction
M. Narwaria*; P. Le Callet*; G. Valenzise†; F. De Simone†; F. Dufaux†; R.K. Mantiuk‡ * University of Nantes, Nantes, France† Telecom ParisTech, CNRS LTCI, Paris, France‡ Bangor University, Bangor, United Kingdom
Abstract
Objective quality assessment methods use a computational (mathematical) model to provide estimates of subjective video quality. While such objective models may not mimic subjective opinions accurately in a general scenario, they can be reasonably effective in specific conditions/applications. Hence, they can be an important tool toward automating the testing and standardization of high dynamic range (HDR) video processing algorithms, especially when subjective tests may ...
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