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Predicting Display Visibility Under Dynamically Changing Lighting Conditions

MPG-Autoren

Aydin,  Tunc O.
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

Aydin, T. O., Myszkowski, K., & Seidel, H.-P. (2009). Predicting Display Visibility Under Dynamically Changing Lighting Conditions. Computer Graphics Forum (Proc. Eurographics), 28(2), 173-182.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-19CB-C
Zusammenfassung
Display devices, more than ever, are finding their ways into electronic consumer goods as a result of recent trends in providing more functionality and user interaction. Combined with the new developments in display technology towards higher reproducible luminance range, the mobility and variation in capability of display devices are constantly increasing. Consequently, in real life usage it is now very likely that the display emission to be distorted by spatially and temporally varying reflections, and the observer's visual system to be not adapted to the particular display that she is viewing at that moment. The actual perception of the display content cannot be fully understood by only considering steady-state illumination and adaptation conditions. We propose an objective method for display visibility analysis formulating the problem as a full-reference image quality assessment problem, where the display emission under ``ideal'' conditions is used as the reference for real-life conditions. Our work includes a human visual system model that accounts for maladaptation and temporal recovery of sensitivity. As an example application we integrate our method to a global illumination simulator and analyze the visibility of a car interior display under realistic lighting conditions.