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Ivana Ilic, Lorne Whitehead, Yoko Mizokami, Michael Webster; Adaptation and perceived contrast in natural vs wide-color-gamut lighting. Journal of Vision 2018;18(10):219. https://doi.org/10.1167/18.10.219.
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© ARVO (1962-2015); The Authors (2016-present)
The new generation of wide color gamut lighting and displays substantially increases the range of color contrasts observers may be exposed to. For example, a typical wide gamut illuminant can increase the range of reddish-greenish contrasts by roughly 30%. The perceptual consequences of this exposure remain largely unexplored. In a previous study, we examined how observers adapt to the gamut change simulated by a random temporal sequence of uniform chromaticities, chosen to simulate the same Munsell surfaces when viewed under a wide gamut illuminant or equivalent black body spectrum. In the present work we extended this to more naturalistic viewing conditions, in which the set of colors was shown as random spatial variations within images. The images were Mondrians composed of a dense collage of rectangles, with colors drawn from 36 hue angles uniformly spanning the LM vs S chromatic plane and randomly varied in luminance. Observers simultaneously adapted to rapid sequences of the same surface sets under the two illuminants, on the left and right side of a CRT monitor, and then adjusted the relative LM contrast of pairs of test images to match their perceived contrast. Adaptation to the higher LM contrast images reduced the perceived contrast in the Mondrians for a range of test contrasts, including the contrasts of the adaptors. These effects are consistent with the results observed for the sequential adaptation, and further suggest that exposure to the wider gamut introduced by artificial lighting and displays is likely to induce "artificial" states of adaptation that alter the perceived colorfulness of images.
Meeting abstract presented at VSS 2018
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