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Sky Based Light Metering for High Dynamic Range Images

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons79277

Gryaditskaya,  Yulia
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons79431

Pouli,  Tania
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons79441

Reinhard,  Erik
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

Gryaditskaya, Y., Pouli, T., Reinhard, E., & Seidel, H.-P. (2014). Sky Based Light Metering for High Dynamic Range Images. Computer Graphics Forum, 33(7), 61-69. doi:10.1111/cgf.12474.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0024-6C64-1
Zusammenfassung
Image calibration requires both linearization of pixel values and scaling so that values in the image correspond to real-world luminances. In this paper we focus on the latter and rather than rely on camera characterization, we calibrate images by analysing their content and metadata, obviating the need for expensive measuring devices or modeling of lens and camera combinations. Our analysis correlates sky pixel values to luminances that would be expected based on geographical metadata. Combined with high dynamic range (HDR) imaging, which gives us linear pixel data, our algorithm allows us to find absolute luminance values for each pixel—effectively turning digital cameras into absolute light meters. To validate our algorithm we have collected and annotated a calibrated set of HDR images and compared our estimation with several other approaches, showing that our approach is able to more accurately recover absolute luminance. We discuss various applications and demonstrate the utility of our method in the context of calibrated color appearance reproduction and lighting design.