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Influence of Spatial Luminance Interactions on Perceived Brightness

机译:空间亮度相互作用对感知亮度的影响

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Most color appearance models that have been published so far require a simplified description of the viewing field which is subdivided into a small number of homogeneous regions. The tristimulus values and luminance levels of these regions serve as input parameters for the models. The purpose of this paper however is to study brightness perception in a complex, achromatic surround using a more detailed description of the entire viewing field. Therefore, a number of psycbophysical experiments were carried out using a CRT display on which relatively complex images were presented. Several observers were asked to judge the perceived brightness by adjusting the luminance level of a reference grey for a perfect brightness match. All thereby obtained psychophysical data were used to develop a new brightness appearance model that takes all objects in the entire visual field into account. The model includes an object feature extraction stage, in which object properties like area and position are extracted, a stage in which the characteristic object data are sorted into the appropriate classes of a histogram and a multivariate map in the form of a feedforward neural network to calculate the prediction of the perceived brightness.
机译:到目前为止已发布的大多数颜色外观模型需要对观看字段的简化描述细分为少量均匀区域。这些区域的三刺激值和亮度级别用作模型的输入参数。然而,本文的目的是使用整个观察领域的更详细描述研究复杂的,消色差环绕的亮度感知。因此,使用CRT显示器进行许多Psycbophysical实验,在该CRT显示器上呈现了相对复杂的图像。要求几个观察者通过调整参考灰色的亮度水平来判断感知亮度,以获得完美的亮度匹配。因此,所有来自的心理物理数据都用于开发一种新的亮度外观模型,以考虑整个视野中的所有对象。该模型包括对象特征提取阶段,其中提取了对象属性,其中诸如面积和位置,其中特征对象数据被分类为直方图的适当类别以及以前馈神经网络的形式分类为直方图和多变量映射计算感知亮度的预测。

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