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

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Visual Signal Quality Assessment

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 more accurately. 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 capture, storage, processing, display, and so on. This chapter focuses on some of those issues from a QoE viewpoint.

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Notes

  1. 1.

    This video sequence was shot as part of the NEVEx project FUI11, related to HDR video chain study.

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Correspondence to Matthieu Perreira Da Silva .

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Narwaria, M., Da Silva, M.P., Le Callet, P. (2015). High Dynamic Range Visual Quality of Experience Measurement: Challenges and Perspectives. In: Deng, C., Ma, L., Lin, W., Ngan, K. (eds) Visual Signal Quality Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-10368-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-10368-6_5

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