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Abstract:
We conduct a series of experiments to investigate the desired properties of a
tone mapping operator (TMO) and to design such an operator based on subjective
data. We propose a novel approach to the tone mapping problem, in which the
tone mapping parameters are determined based on the data from subjective
experiments, rather than an image processing algorithm or a visual model. To
collect this data, a series of experiments are conducted in which the subjects
adjust three generic TMO parameters: brightness, contrast and color saturation.
In two experiments, the subjects are to find a) the most preferred image
without a reference image (preference task) and b) the closest image to the
real-world scene which the subjects are confronted with (fidelity task). We
analyze subjects' choice of parameters to provide more intuitive control over
the parameters of a tone mapping operator. Unlike most of the researched TMOs
that focus on rendering for standard low dynamic range monitors, we consider a
broad range of potential displays, each offering different dynamic range and
brightness. We simulate capabilities of such displays on a high dynamic range
(HDR) display. This allows us to address the question of how tone mapping needs
to be adjusted to accommodate displays with drastically different dynamic
ranges.