Exposure fusion algorithm for scenes with an extremely high dynamic range

Junwon Mun, Yunseok Jang, Jaeseok Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.

Original languageEnglish
Title of host publicationIWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing
EditorsRenata Rybarova, Gregor Rozinaj, Ivan Minarik, Peter Truchly
PublisherIEEE Computer Society
ISBN (Electronic)9781467395557
DOIs
Publication statusPublished - 2016 Jun 30
Event23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia
Duration: 2016 May 232016 May 25

Publication series

NameInternational Conference on Systems, Signals, and Image Processing
Volume2016-June
ISSN (Print)2157-8672
ISSN (Electronic)2157-8702

Other

Other23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016
CountrySlovakia
CityBratislava
Period16/5/2316/5/25

Fingerprint

Fusion reactions
Color
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Software

Cite this

Mun, J., Jang, Y., & Kim, J. (2016). Exposure fusion algorithm for scenes with an extremely high dynamic range. In R. Rybarova, G. Rozinaj, I. Minarik, & P. Truchly (Eds.), IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing [7502703] (International Conference on Systems, Signals, and Image Processing; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/IWSSIP.2016.7502703
Mun, Junwon ; Jang, Yunseok ; Kim, Jaeseok. / Exposure fusion algorithm for scenes with an extremely high dynamic range. IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing. editor / Renata Rybarova ; Gregor Rozinaj ; Ivan Minarik ; Peter Truchly. IEEE Computer Society, 2016. (International Conference on Systems, Signals, and Image Processing).
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abstract = "Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.",
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Mun, J, Jang, Y & Kim, J 2016, Exposure fusion algorithm for scenes with an extremely high dynamic range. in R Rybarova, G Rozinaj, I Minarik & P Truchly (eds), IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing., 7502703, International Conference on Systems, Signals, and Image Processing, vol. 2016-June, IEEE Computer Society, 23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016, Bratislava, Slovakia, 16/5/23. https://doi.org/10.1109/IWSSIP.2016.7502703

Exposure fusion algorithm for scenes with an extremely high dynamic range. / Mun, Junwon; Jang, Yunseok; Kim, Jaeseok.

IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing. ed. / Renata Rybarova; Gregor Rozinaj; Ivan Minarik; Peter Truchly. IEEE Computer Society, 2016. 7502703 (International Conference on Systems, Signals, and Image Processing; Vol. 2016-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.

AB - Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.

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Mun J, Jang Y, Kim J. Exposure fusion algorithm for scenes with an extremely high dynamic range. In Rybarova R, Rozinaj G, Minarik I, Truchly P, editors, IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing. IEEE Computer Society. 2016. 7502703. (International Conference on Systems, Signals, and Image Processing). https://doi.org/10.1109/IWSSIP.2016.7502703