Abstract
We describe a methodology for predicting the detectability of subtle
targets in dark regions of high-dynamic-range (HDR) images in the presence
of veiling glare in the human eye. The method relies on predictions of contrast
detection thresholds for the human visual system within a HDR image based
on psychophysics measurements and modeling of the HDR display device characteristics.
We present experimental results used to construct the model and discuss an
image-dependent empirical veiling glare model and the validation of the model
predictions with test patterns, natural scenes, and medical images. The model
predictions are compared to a previously reported model (HDR-VDP2) for predicting
HDR image quality accounting for glare effects.
© 2013 IEEE
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