High Dynamic Range Visual Quality of Experience Measurement: Challenges and Perspectives

Manish Narwaria 1, * Matthieu Perreira da Silva 1 Patrick Le Callet 1
* Corresponding author
1 irccyn-ivc
IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : Traditional capture and display devices can only support a limited dynamic range (contrast) and color gamut given the hardware limitations. As a result, the real physical luminance present in a natural scene cannot be captured by these. However, with the recent advancements in the related software and hardware technologies, it is now possible to capture or reproduce higher contrast and luminance ranges. Such scene-referred visual signals are known as High Dynamic Range (HDR) signals. They are visually more appealing because they can represent the dynamic range of the visual stimuli present in the real world. Not surprisingly, the emergence of HDR is seen as an important step towards improving the visual quality of experience (QoE) of the end users. However, HDR comes with its own set of challenges including storage, processing, display and so on. This chapter focuses on some of the issues related to HDR processing from a quality of experience (QoE) viewpoint.
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Manish Narwaria, Matthieu Perreira da Silva, Patrick Le Callet. High Dynamic Range Visual Quality of Experience Measurement: Challenges and Perspectives. Visual Signal Quality Assessment - Quality of Experience (QoE), Springer International Publishing, pp.129-155, 2015, 978-3-319-10368-6. ⟨10.1007/978-3-319-10368-6_5⟩. ⟨hal-01151591⟩

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