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

TLDR: The emergence of HDR is seen as an important step towards improving the visual quality of experience (QoE) of the end users, but it comes with its own set of challenges including capture, storage, processing, display, and so on.

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.