Computational model for categorical color perception and its application for color image evaluation

本研究的重点是以分类方式反映颜色表征的高级视觉功能。这些高级视觉功能之一是视觉注意力，这是我们招募资源的能力，用于处理视网膜图像的选定方面，而不是非选定方面。虽然空间选择，这是视觉注意的一个方面，已经得到了更深入的研究，注意也是积极的，当我们有选择地感知同一对象的不同特征。与空间选择相比，注意力的这一方面，即特征选择，还没有完全理解。本研究采用快速序列视觉呈现（RSVP）方法，对颜色注意的时间特性进行了心理物理学实验研究。为了解释实验数据，已经提出了一个数学模型的基础上并行处理的假设。

This research focuses on the higher visual function which reflects the color representation in categorical manner. One of these higher visual function is visual attention, which is our ability to recruit resources for processing selected aspects of the retinal image more fully than nonselected aspects. Although spatial selection, which is one aspect of visual attention, has been studied more intensively, attention is also active when we selectively perceive different features of the same object. This aspect of attention, feature selection, is not fully understood yet compared with spatial selection. In this study, psychophysical experiments were carried out to investigate the temporal property of the attention to color by means of rapid serial visual presentation (RSVP). To explain the experimental data, a mathematical model has been proposed based on the parallel processing hypothesis.