Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Data visualization: the end of the rainbow
IEEE Spectrum
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
An inexpensive scheme for calibration of a colour monitor in terms of CIE standard coordinates
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
A rule-based tool for assisting colormap selection
VIS '95 Proceedings of the 6th conference on Visualization '95
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Face-based luminance matching for perceptual colormap generation
Proceedings of the conference on Visualization '02
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Automatic perceptual color map generation for realistic volume visualization
Journal of Biomedical Informatics
Technical Section: Using color in visualization: A survey
Computers and Graphics
Human-centered visualization environments
Human-centered visualization environments
Magic marker: a color analytics interface for image annotation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Pointillist and glyph-based visualization of nanoparticles in formation
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Harmonic colormaps for volume visualization
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
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We have developed a fast, perceptual method for selecting color scales for data visualization that takes advantage of our sensitivity to luminance variations in human faces. To do so, we conducted experiments in which we mapped various color scales onto the intensitiy values of a digitized photograph of a face and asked observers to rate each image. We found a very strong correlation between the perceived naturalness of the images and the degree to which the underlying color scales increased monotonically in luminance. Color scales that did not include a monotonically-increasing luminance component produced no positive rating scores. Since color scales with monotonic luminance profiles are widely recommended for visualizing continuous scalar data, a purely visual technique for identifying such color scales could be very useful, especially in situations where color calibration is not integrated into the visualization environment, such as over the Internet.