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Perceptually‐based Color Assignment
Author(s) -
Kim HyeRin,
Yoo MinJoon,
Kang Henry,
Lee InKwon
Publication year - 2014
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12499
Subject(s) - computer science , artificial intelligence , computer vision , infographic , perception , task (project management) , data mining , management , neuroscience , economics , biology
Color assignment is a complex task of incorporating and balancing area configuration, color harmony, and user's intent. In this paper, we present a novel method for automatic color assignment based on theories of color perception. We define color assignment as an optimization problem with respect to the color relationships as well as the spatial configuration of input segments. We also suggest possible constraints that are suitable for task‐specific purposes and for enhancing visual appeal. Our colorization scheme is useful in many applications such as infographics, computer‐aided design, and visual presentation. The user study shows that our method generates perceptually pleasing results over a variety of data sets.