Sky Based Light Metering for High Dynamic Range Images

Simple item page
dc.contributor.authorGryaditskya, Yuliaen_US
dc.contributor.authorPouli, Taniaen_US
dc.contributor.authorReinhard, Eriken_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.contributor.editorJ. Keyser, Y. J. Kim, and P. Wonkaen_US
dc.date.accessioned2015-03-03T12:50:57Z
dc.date.available2015-03-03T12:50:57Z
dc.date.issued2014en_US
dc.description.abstractImage 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.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12474en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleSky Based Light Metering for High Dynamic Range Imagesen_US
Files
Collections
33-Issue 7