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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:迄今为止,已发布的大多数颜色外观模型都要求对视​​野进行简化描述,该描述细分为少量的均匀区域。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视场的更详细描述来研究复杂的消色差周围环境中的亮度感知。因此,使用CRT显示器进行了许多生理物理实验,在其上呈现了相对复杂的图像。要求几名观察员通过调整参考灰度的亮度水平以达到完美的亮度匹配来判断感知到的亮度。由此获得的所有心理物理数据都用于开发新的亮度外观模型,该模型将整个视野中的所有对象都考虑在内。该模型包括一个对象特征提取阶段,其中提取诸如面积和位置之类的对象属性;一个阶段,在该阶段中,将特征对象数据分类为直方图和以前馈神经网络形式生成的多元映射的适当类别。计算感知亮度的预测。

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