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Abstract:
Managing the appearance of images across different display environments is a
difficult problem, exacerbated by the proliferation of high dynamic range
imaging technologies. Tone reproduction is often limited to luminance
adjustment and is rarely calibrated against psychophysical data, while color
appearance modeling addresses color reproduction in a calibrated manner, albeit
over a limited luminance range. Only a few image appearance models bridge the
gap, borrowing ideas from both areas. Our take on scene reproduction reduces
computational complexity with respect to the state-of-the-art, and adds a
spatially varying model of lightness perception. The predictive capabilities of
the model are validated against all psychophysical data known to us, and visual
comparisons show accurate and robust reproduction for challenging high dynamic
range scenes.
