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High Dynamic Range Global Mosaic

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Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3851))

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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.

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Author information

Authors and Affiliations

  1. Division of Electrical and Computer Engineering, POSTECH, Pohang, Korea

    Dae-Woong Kim & Ki-Sang Hong

Authors
  1. Dae-Woong Kim
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  2. Ki-Sang Hong
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Editor information

Editors and Affiliations

  1. International Institute of Information Technology, Center for Visual Information Technology, Hyderabad, India

    P. J. Narayanan

  2. Department of Computer Science, Columbia University, 500 West 120th Street, 10027, New York, NY, USA

    Shree K. Nayar

  3. Microsoft Research Asia, Beijing, P.R. China

    Heung-Yeung Shum

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, DW., Hong, KS. (2006). High Dynamic Range Global Mosaic. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_75

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  • DOI: https://doi.org/10.1007/11612032_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31219-2

  • Online ISBN: 978-3-540-32433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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