Computational model of lightness perception in high dynamic range imaging

Grzegorz Krawczyk; Karol Myszkowski; Hans-Peter Seidel

doi:10.1117/12.639266

3 February 2006 Computational model of lightness perception in high dynamic range imaging

Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel

Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 605708 (2006) https://doi.org/10.1117/12.639266
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

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.

Citation Download Citation

Grzegorz Krawczyk, Karol Myszkowski, and Hans-Peter Seidel "Computational model of lightness perception in high dynamic range imaging", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 605708 (3 February 2006); https://doi.org/10.1117/12.639266

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