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Color Lens: Adaptive Color Scale Optimization for Visual Exploration

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3 Author(s)
Niklas Elmqvist ; Purdue University, West Lafayette ; Pierre Dragicevic ; Jean-Daniel Fekete

Visualization applications routinely map quantitative attributes to color using color scales. Although color is an effective visualization channel, it is limited by both display hardware and the human visual system. We propose a new interaction technique that overcomes these limitations by dynamically optimizing color scales based on a set of sampling lenses. The technique inspects the lens contents in data space, optimizes the initial color scale, and then renders the contents of the lens to the screen using the modified color scale. We present two prototype implementations of this pipeline and describe several case studies involving both information visualization and image inspection applications. We validate our approach with two mutually linked and complementary user studies comparing the Color Lens with explicit contrast control for visual search.

Published in:

IEEE Transactions on Visualization and Computer Graphics  (Volume:17 ,  Issue: 6 )