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HDR Image and Video Quality Prediction

Manish Narwaria Patrick Le Callet Giuseppe Valenzise 1, 2 Francesca de Simone 1, 2 Frederic Dufaux 1, 2 Rafal Mantiuk
1 MM - Multimédia
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
Abstract : This chapter is devoted to the analysis of state-of-the-art objective methods for measuring the quality of HDR image and video, as part of evaluating one of the components in the overall QoE.
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https://hal.telecom-paris.fr/hal-02287220
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 4:44:13 PM
Last modification on : Friday, July 31, 2020 - 11:28:05 AM

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  • HAL Id : hal-02287220, version 1

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LTCI | CNRS | PARISTECH | INSTITUT-TELECOM | IDS | MM | UNIV-PARIS-SACLAY

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Manish Narwaria, Patrick Le Callet, Giuseppe Valenzise, Francesca de Simone, Frederic Dufaux, et al.. HDR Image and Video Quality Prediction. High Dynamic Range Video - From Acquisition, to Display and Applications, Academic Press, 2016. ⟨hal-02287220⟩

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