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

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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.