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Proceedings Paper

Adaptive color visualization for dichromats using a customized hierarchical palette
Author(s): Carlos Eduardo Rodríguez-Pardo; Gaurav Sharma
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Paper Abstract

We propose a user-centric methodology for displaying digital color documents, that optimizes color representations in an observer specific and adaptive fashion. We apply our framework to situations involving viewers with common dichromatic color vision deficiencies, who face challenges in perceiving information presented in color images and graphics designed for color normal individuals. For situations involving qualitative data visualization, we present a computationally efficient solution that combines a customized observer-specific hierarchical palette with "display time" selection of the number of colors to generate renderings with colors that are easily discriminated by the intended viewer. The palette design is accomplished via a clustering algorithm, that arranges colors in a hierarchical tree based on their perceived differences for the intended viewer. A desired number of highly discriminable colors are readily obtained from the hierarchical palette via a simple truncation. As an illustration, we demonstrate the application of the methodology to Ishihara style images.

Paper Details

Date Published: 25 January 2011
PDF: 9 pages
Proc. SPIE 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications, 786603 (25 January 2011); doi: 10.1117/12.872601
Show Author Affiliations
Carlos Eduardo Rodríguez-Pardo, Univ. of Rochester (United States)
Gaurav Sharma, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 7866:
Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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