Paper
8 February 2015 Adaptive color rendering of maps for users with color vision deficiencies
Author Affiliations +
Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 939515 (2015) https://doi.org/10.1117/12.2083411
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
A map is an information design object for which canonical colors for the most common elements are well established. For a CVD observer, it may be difficult to discriminate between such elements - for example, it may be hard to distinguish a red road from a green landscape on the basis of color alone. We address this problem through an adaptive color schema in which the conspicuity of elements in a map to the individual user is maximized. This paper outlines a method to perform adaptive color rendering of map information for users with color vision deficiencies. The palette selection method is based on a pseudo-color palette generation technique which constrains colors to those which lie on the boundary of a reference object color gamut. A user performs a color vision discrimination task, and based on the results of the test, a palette of colors is selected using the pseudo-color palette generation method. This ensures that the perceived difference between palette elements is high but which retains the canonical color of well-known elements as far as possible. We show examples of color palettes computed for a selection of normal and CVD observers, together with maps rendered using these palettes.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anne Kristin Kvitle, Phil Green, and Peter Nussbaum "Adaptive color rendering of maps for users with color vision deficiencies", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939515 (8 February 2015); https://doi.org/10.1117/12.2083411
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Cited by 2 scholarly publications.
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KEYWORDS
Color vision

Chemical vapor deposition

Computer simulations

Calibration

Image processing

Visualization

Image enhancement

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