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  Noise reduction in high dynamic range imaging

Akyüz, A., & Reinhard, E. (2007). Noise reduction in high dynamic range imaging. Journal of Visual Communication and Image Representation, 18(5), 366-376. doi:10.1016/j.jvcir.2007.04.001.

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Akyüz, AO1, 2, Author           
Reinhard, E, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduce exposure times, and thereby the total capture time. This is advantageous in certain environments where it may help minimize ghosting artifacts. However, exposures taken at high sensitivity settings tend to be noisy, which is further amplified by the HDR creation algorithm. We present a robust and efficient technique to significantly reduce noise in an HDR image even when its constituent exposures are taken at very high ISO settings. The method does not introduce blur or other artifacts, and leverages the wealth of information available in a sequence of aligned exposures.

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 Dates: 2007-10
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.jvcir.2007.04.001
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Title: Journal of Visual Communication and Image Representation
  Other : J. Vis. Commun. Image Represent.
Source Genre: Journal
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Publ. Info: San Diego : Academic Press
Pages: - Volume / Issue: 18 (5) Sequence Number: - Start / End Page: 366 - 376 Identifier: ISSN: 1047-3203
CoNE: https://pure.mpg.de/cone/journals/resource/954922650159