Chapter 10

Gaze-Dependent Tone Mapping for HDR Video

R. Mantiuk    West Pomeranian University of Technology, Szczecin, Poland

Abstract

The human visual system constantly adapts to different luminance levels when viewing natural scenes. We present a model of the visual adaptation, which supports displaying the high dynamic range content on the low dynamic range displays. In this solution, an eye tracker captures the location of the observer’s gaze. Temporary adaptation luminance is then determined as the impact of the light area surrounding the gaze point. Finally, the high dynamic range video frame is tone mapped and displayed on the screen in real time. We use a model of local adaptation, which predicts how the adaptation signal is integrated in ...

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