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Abstract:
New imaging and rendering systems commonly use physically accurate
lighting information in the form of high-dynamic range (HDR) images
and video. HDR images contain actual colorimetric or physical
values, which can span 14 orders of magnitude, instead of 8-bit
renderings, found in standard images. The additional precision and
quality retained in HDR visual data is necessary to display images
on advanced HDR display devices, capable of showing contrast of
50,000:1, as compared to the contrast of 700:1 for LCD displays.
With the development of high-dynamic range visual techniques comes a
need for an automatic visual quality assessment of the resulting
images.
In this paper we propose several modifications to the Visual
Difference Predicator (VDP). The modifications improve the
prediction of perceivable differences in the full visible range of
luminance and under the adaptation conditions corresponding to real
scene observation. The proposed metric takes into account the
aspects of high contrast vision, like scattering of the light in the
optics (OTF), nonlinear response to light for the full range of
luminance, and local adaptation. To calibrate our HDR~VDP we perform
experiments using an advanced HDR display, capable of displaying the
range of luminance that is close to that found in real scenes.
