Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
The alphaslider: a compact and rapid selector
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
Elastic graphical interfaces to precise data manipulation
CHI '95 Conference Companion on Human Factors in Computing Systems
TimeSlider: an interface to specify time point
Proceedings of the 10th annual ACM symposium on User interface software and technology
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Speed-dependent automatic zooming for browsing large documents
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
Transfer functions on a logarithmic scale for volume rendering
GI '04 Proceedings of the 2004 Graphics Interface Conference
Zliding: fluid zooming and sliding for high precision parameter manipulation
Proceedings of the 18th annual ACM symposium on User interface software and technology
OrthoZoom scroller: 1D multi-scale navigation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A review of overview+detail, zooming, and focus+context interfaces
ACM Computing Surveys (CSUR)
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Color Lens: Adaptive Color Scale Optimization for Visual Exploration
IEEE Transactions on Visualization and Computer Graphics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Discovering high-level parameters for visualization design
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
See what you know: analyzing data distribution to improve density map visualization
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
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Most visual analysis tasks require interactive adjustment of parameter values. In general, a linear variation of a parameter, using for instance a GUI slider, changes the visual result in a perceptually non-linear way. This hampers interactive adjustment of parameters, especially in regions where rapid perceptual changes occur. Selecting a good parameter value therefore remains a time-consuming and often difficult task. We propose a novel technique to build a non-linear function that maps a new parameter to the original parameter. By prefixing this function to the original parameter and using the new parameter as input, a linear relationship between input and visual feedback is obtained. To construct the non-linear function, we measure the variation of the visual result using image metrics. Given a suitable perceptual image metric, perceptually linear image variations are achieved. We demonstrate the practical utility of our approach by implementing two common image metrics, a perceptual and a non-perceptual one, and by applying the method to a few visual analysis tasks. © 2012 Wiley Periodicals, Inc.