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本文引用的文献

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Asymmetries between achromatic increments and decrements: Perceptual scales and discrimination thresholds.非彩色的增加和减少之间的不对称性:感知尺度和辨别阈。
J Vis. 2024 Apr 1;24(4):10. doi: 10.1167/jov.24.4.10.
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Parabolic achromatic color matching functions: Dependence on incremental and decremental luminance.抛物线非消色差颜色匹配函数:对递增和递减亮度的依赖。
J Opt Soc Am A Opt Image Sci Vis. 2023 Mar 1;40(3):A57-A64. doi: 10.1364/JOSAA.478694.
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Neurocomputational Lightness Model Explains the Appearance of Real Surfaces Viewed Under Gelb Illumination.神经计算明度模型解释了在格尔布照明下观察到的真实表面的外观。
J Percept Imaging. 2020 Jan-Jun;3(1):105021-1050216. doi: 10.2352/j.percept.imaging.2020.3.1.010502.
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A cortical edge-integration model of object-based lightness computation that explains effects of spatial context and individual differences.一种基于皮层边缘整合的物体亮度计算模型,解释了空间上下文和个体差异的影响。
Front Hum Neurosci. 2014 Aug 22;8:640. doi: 10.3389/fnhum.2014.00640. eCollection 2014.
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Edge integration in achromatic color perception and the lightness-darkness asymmetry.消色差颜色感知中的边缘整合与明暗不对称
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7
How attention and contrast gain control interact to regulate lightness contrast and assimilation: a computational neural model.注意力与对比度增益控制如何相互作用以调节明度对比度和同化:一种计算神经模型。
J Vis. 2010 Dec 31;10(14):40. doi: 10.1167/10.14.40.
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Lightness, brightness and transparency: a quarter century of new ideas, captivating demonstrations and unrelenting controversy.明度、亮度与透明度:二十五年的新观点、引人入胜的演示及持续不断的争论。
Vision Res. 2011 Apr 13;51(7):652-73. doi: 10.1016/j.visres.2010.09.012. Epub 2010 Sep 19.
9
Brightness constancy and the nature of achromatic colors.明度恒常性与非彩色颜色的本质。
J Exp Psychol. 1948 Jun;38(3):310-24. doi: 10.1037/h0053804.
10
Contrast polarity and edge integration in achromatic color perception.无彩色视觉中的对比度极性与边缘整合
J Opt Soc Am A Opt Image Sci Vis. 2007 Aug;24(8):2134-56. doi: 10.1364/josaa.24.002134.

亮度诱导对盘-环刺激对比度极性的依赖性。

Dependence of brightness induction on the contrast polarity of a disk-annulus stimulus.

作者信息

Kavcar Osman, Rudd Michael E, Crognale Michael A

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2025 May 1;42(5):B274-B281. doi: 10.1364/JOSAA.546972.

DOI:10.1364/JOSAA.546972
PMID:40793533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12344272/
Abstract

Classical theories of brightness and lightness induction have largely been stated in terms of two opposing influences from the surround: contrast and assimilation. In fact, these two effects are part of a more complex but reproducible and mathematically well-defined statistical process in which both low-level neural constraints and top-down cognitive judgments contribute to the measured percept. Here we test a particular model of this process based on edge integration theory with contrast gain control. We employed a brightness matching technique based on disk-annulus stimuli and showed that we can account for our results with a quantitative model in which the contrast polarity of the stimulus plays a critical role.

摘要

经典的明度和亮度诱导理论主要是根据来自周围环境的两种相反影响来阐述的

对比和同化。事实上,这两种效应是一个更复杂但可重复且数学上定义明确的统计过程的一部分,在这个过程中,低级神经约束和自上而下的认知判断都对测量到的感知有贡献。在这里,我们基于具有对比度增益控制的边缘整合理论测试了这个过程的一个特定模型。我们采用了一种基于圆盘-圆环刺激的亮度匹配技术,并表明我们可以用一个定量模型来解释我们的结果,在这个模型中,刺激的对比极性起着关键作用。