TY - GEN
T1 - Revisiting radiometric calibration for color computer vision
AU - Lin, Haiting
AU - Kim, Seon Joo
AU - Susstrunk, Sabine
AU - Brown, Michael S.
PY - 2011
Y1 - 2011
N2 - We present a study of radiometric calibration and the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if image values can be transformed to physically meaningful values and if so, when and how this can be done. From our analysis, we show that the conventional radiometric model fits well for image pixels with low color saturation but begins to degrade as color saturation level increases. This is due to the color mapping process which includes gamut mapping in the in-camera processing that cannot be modeled with conventional methods. To this end, we introduce a new imaging model for radiometric calibration and present an effective calibration scheme that allows us to compensate for the nonlinear color correction to convert non-linear sRGB images to CCD RAW responses.
AB - We present a study of radiometric calibration and the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if image values can be transformed to physically meaningful values and if so, when and how this can be done. From our analysis, we show that the conventional radiometric model fits well for image pixels with low color saturation but begins to degrade as color saturation level increases. This is due to the color mapping process which includes gamut mapping in the in-camera processing that cannot be modeled with conventional methods. To this end, we introduce a new imaging model for radiometric calibration and present an effective calibration scheme that allows us to compensate for the nonlinear color correction to convert non-linear sRGB images to CCD RAW responses.
UR - http://www.scopus.com/inward/record.url?scp=84863045744&partnerID=8YFLogxK
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U2 - 10.1109/ICCV.2011.6126234
DO - 10.1109/ICCV.2011.6126234
M3 - Conference contribution
AN - SCOPUS:84863045744
SN - 9781457711015
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 129
EP - 136
BT - 2011 International Conference on Computer Vision, ICCV 2011
T2 - 2011 IEEE International Conference on Computer Vision, ICCV 2011
Y2 - 6 November 2011 through 13 November 2011
ER -