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Visual adaptation to natural scene statistics and visual preference
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NSTL
Elsevier
The amplitude of Fourier spectra for natural scenes falls with spatial frequency (f) and is described by the equation, 1/f(alpha), where exponent alpha corresponds to the slope of the spectral drop-off. For natural scenes a takes on intermediate values similar to 1.25, reflecting their scale invariance. It is also well-established that, on average, images with natural scene statistics are preferred to those that deviate from these properties. Although this average pattern of preference for images with the intermediate values of alpha is robust, there are also marked individual differences in preference for different levels of alpha. This study investigated the effects of adaptation on average and individual visual preferences for synthetic filtered noise images varying in alpha. Participant preferences (N = 58) were measured via a 2AFC task prior to adaptation (baseline) and post-adaptation There were 3 adaptation conditions (alpha = 0.25, 1.25, 2.25) and 5 test levels of alpha (0.25, 0.75, 1.25, 1.75, 2.25). On average, the adaptation elevated preferences for test images with a matching the adaptor conditions, especially in adaptor conditions, alpha = 0.25 and 2.25. We also observed marked individual differences in preference for different levels of alpha. These different preference profiles remained stable throughout the experiment and affected the levels of adaptation observed in different adaptation conditions.
Natural scene statisticsVisual adaptationVisual preferenceAmplitude spectrum
NSTL
Elsevier
