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视觉适应自然场景统计和视觉偏好。

Visual adaptation to natural scene statistics and visual preference.

机构信息

School of Psychology, UNSW Sydney, Australia.

School of Psychology, UNSW Sydney, Australia.

出版信息

Vision Res. 2021 Mar;180:87-95. doi: 10.1016/j.visres.2020.11.011. Epub 2021 Jan 2.

DOI:10.1016/j.visres.2020.11.011
PMID:33401176
Abstract

The amplitude of Fourier spectra for natural scenes falls with spatial frequency (f) and is described by the equation, 1/f, where exponent α corresponds to the slope of the spectral drop-off. For natural scenes α takes on intermediate values ~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 α is robust, there are also marked individual differences in preference for different levels of α. This study investigated the effects of adaptation on average and individual visual preferences for synthetic filtered noise images varying in α. Participant preferences (N = 58) were measured via a 2AFC task prior to adaptation (baseline) and post-adaptation There were 3 adaptation conditions (α = 0.25, 1.25, 2.25) and 5 test levels of α (0.25, 0.75, 1.25, 1.75, 2.25). On average, the adaptation elevated preferences for test images with α matching the adaptor conditions, especially in adaptor conditions, α = 0.25 and 2.25. We also observed marked individual differences in preference for different levels of α. These different preference profiles remained stable throughout the experiment and affected the levels of adaptation observed in different adaptation conditions.

摘要

自然场景的傅里叶光谱幅度随空间频率(f)而衰减,其方程为 1/f,其中指数α对应于光谱衰减的斜率。对于自然场景,α 取中间值~1.25,反映了它们的尺度不变性。此外,还已经确立的是,平均而言,具有自然场景统计特性的图像比偏离这些特性的图像更受欢迎。尽管这种对具有中间α值的图像的偏好的平均模式是稳健的,但对不同水平的α也存在明显的个体差异。本研究调查了适应对合成滤波噪声图像的平均和个体视觉偏好的影响,这些图像的α值不同。通过 2AFC 任务在适应(基线)前后测量参与者的偏好(N=58)。有 3 种适应条件(α=0.25、1.25、2.25)和 5 种α的测试水平(0.25、0.75、1.25、1.75、2.25)。平均而言,适应会提高与适应器条件匹配的测试图像的偏好,尤其是在适应器条件下,α=0.25 和 2.25。我们还观察到对不同水平的α的偏好存在明显的个体差异。这些不同的偏好模式在整个实验过程中保持稳定,并影响了不同适应条件下观察到的适应水平。

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