Problems for a Ratio Model of Lightness Perception

亮度感知比率模型的问题

• 批准号: 8909182
• 负责人: Alan Gilchrist
• 金额: $ 20.85万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-01 至 1993-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8909182&HistoricalAwards=false
• 关键词: Problems; Ratio; Model; Lightness; Perception

Recent progress in the study of how we perceive black, gray, and white surfaces has been based heavily on the insight that the retinal image is encoded in terms of relative, rather than absolute, light intensities, or luminances. This research will investigate two serious problems for models based on relative luminance, known as ratio models. In one study, reports by observers in a completely homogeneous visual field that grows either brighter or darker for an extended period of time, at a rate too slow for detecting the change, will indicate whether the visual system senses absolute luminance in the absence of visible spatial and temporal change. The homogeneous visual field will eliminate spatial changes in luminance and the gradual change of luminance over time will eliminate the detection of temporal change. The hypothesis that only relative luminances are encoded suggests the counter-intuitive result that under these conditions the human observers will not be able to discriminate a very bright field from a very dark field. Deduction of visual processes underlying surface color perception requires a specification of whether relative or absolute luminances, or both, are available to the visual system. In the second study, observers will view various displays through a glass panel that reflects a homogeneous sheet of light, known as a veiling luminance; their experience will be much like looking through a fog. Although contrasts, or relative luminances, are dramatically reduced under these conditions, observers are able to identify gray shades correctly if the display behind the veil is sufficiently complex. Systematic variation of the display will enable the determination of factors that allow correct identification. These results should carry strong implications regarding how relative luminances are processed so as to produce visual experience of white and black surfaces.

关于我们如何感知黑色、灰色和 白色表面在很大程度上基于这样的见解： 视网膜图像是根据相对编码的，而不是 绝对值、光强度或亮度。 这项研究将 研究了基于相对论模型的两个严重问题 亮度，称为比率模型。 在一项研究中， 观察者在完全均匀的视野中， 在较长的一段时间内， 速度太慢，无法检测到变化，将指示 视觉系统在没有可见光的情况下感知绝对亮度。 空间和时间变化。 均匀的视野将 消除亮度的空间变化和 亮度随时间的变化将消除时间的检测 变化 只有相对亮度被编码的假设 提出了一个反直觉的结果，在这些条件下， 人类观察者将无法区分 从一个非常黑暗的领域明亮的领域。 视觉演绎 表面颜色感知的基础过程需要一个 相对亮度或绝对亮度的规范，或 两者都可以被视觉系统利用。 在第二项研究中， 观察者将通过玻璃面板观看各种显示器， 反射出一层均匀的光， 光;他们的经验将很像通过一个 雾 虽然对比度或相对亮度是 在这种情况下，观察者能够 为了正确识别灰色阴影， 足够复杂。 显示器的系统变化 将使确定的因素，允许正确的 识别. 这些结果应该具有很强的意义 关于如何处理相对亮度以便产生 白色和黑色表面的视觉体验。