Exposure fusion algorithm for scenes with an extremely high dynamic range

Junwon Mun; Yunseok Jang; Jaeseok Kim

doi:10.1109/IWSSIP.2016.7502703

Exposure fusion algorithm for scenes with an extremely high dynamic range

Junwon Mun, Yunseok Jang, Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing
Editors	Renata Rybarova, Gregor Rozinaj, Ivan Minarik, Peter Truchly
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467395557
DOIs	https://doi.org/10.1109/IWSSIP.2016.7502703
Publication status	Published - 2016 Jun 30
Event	23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia Duration: 2016 May 23 → 2016 May 25

Publication series

Name	International Conference on Systems, Signals, and Image Processing
Volume	2016-June
ISSN (Print)	2157-8672
ISSN (Electronic)	2157-8702

Other

Other	23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016
Country	Slovakia
City	Bratislava
Period	16/5/23 → 16/5/25

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Signal Processing
Software

Access to Document

10.1109/IWSSIP.2016.7502703

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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. 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).

@inproceedings{d0b3b08c6e084c91984aacde159d0ca7,

title = "Exposure fusion algorithm for scenes with an extremely high dynamic range",

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.",

author = "Junwon Mun and Yunseok Jang and Jaeseok Kim",

year = "2016",

month = jun,

day = "30",

doi = "10.1109/IWSSIP.2016.7502703",

language = "English",

series = "International Conference on Systems, Signals, and Image Processing",

publisher = "IEEE Computer Society",

editor = "Renata Rybarova and Gregor Rozinaj and Ivan Minarik and Peter Truchly",

booktitle = "IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing",

address = "United States",

note = "23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 ; Conference date: 23-05-2016 Through 25-05-2016",

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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 proceeding › Conference contribution

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PY - 2016/6/30

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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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BT - IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing

A2 - Rybarova, Renata

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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