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Computational Model of Lightness Perception in High Dynamic Range Imaging

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44842

Krawczyk,  Grzegorz
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45095

Myszkowski,  Karol
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Krawczyk, G., Myszkowski, K., & Seidel, H.-P. (2006). Computational Model of Lightness Perception in High Dynamic Range Imaging. In Human Vision and Electronic Imaging X, IS&T/SPIE's 18th Annual Symposium on Electronic Imaging (2006) (pp. 1-12). Bellingham, USA: SPIE.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2258-5
Zusammenfassung
An anchoring theory of lightness perception by Gilchrist et al. [1999] explains many characteristics of human visual system such as lightness constancy and its spectacular failures which are important in the perception of images. The principal concept of this theory is the perception of complex scenes in terms of groups of consistent areas (frameworks). Such areas, following the gestalt theorists, are defined by the regions of common illumination. The key aspect of the image perception is the estimation of lightness within each framework through the anchoring to the luminance perceived as white, followed by the computation of the global lightness. In this paper we provide a computational model for automatic decomposition of HDR images into frameworks. We derive a tone mapping operator which predicts lightness perception of the real world scenes and aims at its accurate reproduction on low dynamic range displays. Furthermore, such a decomposition into frameworks opens new grounds for local image analysis in view of human perception.