High dynamic range global mosaic

Authors:
Dae-Woong Kim;Ki-Sang Hong
Affiliations:
Division of Electrical and Computer Engineering, POSTECH, Pohang, Korea;Division of Electrical and Computer Engineering, POSTECH, Pohang, Korea
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Year:
2006

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Abstract

This paper presents a global approach for constructing high dynamic range mosaic from multiple images with large exposure differences. By relating image intensities to scene radiances with a convenient distortion model, we robustly estimated registration parameters for the high dynamic range global mosaic (HDRGM), simultaneously estimating scene radiances and distortion parameters in a single framework. Also, a simple detail-preserving contrast reduction method is introduced.