Perceptually Linear Parameter Variations

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 ra...

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Vydáno v:Computer graphics forum Ročník 31; číslo 2pt3; s. 535 - 544
Hlavní autoři: Lindow, Norbert, Baum, Daniel, Hege, Hans-Christian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.05.2012
Témata:
Computer graphics
Computer science
Construction
I.3.3 [Computing Methodologies]: Computer Graphics-Picture/Image Generation
I.4 [Computing Methodologies]: Image Processing and Computer Vision-Parameter Adjustment
Interactive
Mathematical analysis
Mathematical models
Measurement techniques
Nonlinearity
Studies
Tasks
Visual
ISSN:0167-7055, 1467-8659
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Shrnutí: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.
Bibliografie:istex:76039C5D68D7AC465C2C8284664117BF512AFC9D
ArticleID:CGF3054
ark:/67375/WNG-3S43PMRC-F
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03054.x