Abstract
This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4502-4506 |
| Number of pages | 5 |
| ISBN (Print) | 9781479957514 |
| DOIs | |
| Publication status | Published - 2014 Jan 28 |
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Keywords
- Dehaze
- image enhancement
- local atmospheric light
- media transmission
- saturation evaluation metric
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
Single image haze removal using novel estimation of atmospheric light and transmission. / Park, Hyungjo; Park, Dubok; Han, David K.; Ko, Hanseok.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4502-4506 7025913.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Single image haze removal using novel estimation of atmospheric light and transmission
AU - Park, Hyungjo
AU - Park, Dubok
AU - Han, David K.
AU - Ko, Hanseok
PY - 2014/1/28
Y1 - 2014/1/28
N2 - This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.
AB - This paper presents a new single image dehaze approach that uses a novel estimation of the atmospheric light and media transmission. Conventional dehaze methods often result in degraded images with low contrast and/or oversaturation of color in some regions. In order to mitigate these problems we use local atmospheric light and estimate the media transmission for each local region by using an objective function represented by modified saturation evaluation metric and intensity difference. Experimental results on a variety of outdoor haze images show that the proposed method achieves excellent restoration in terms of contrast, color fidelity and image visibility.
KW - Dehaze
KW - image enhancement
KW - local atmospheric light
KW - media transmission
KW - saturation evaluation metric
UR - http://www.scopus.com/inward/record.url?scp=84949928214&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949928214&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2014.7025913
DO - 10.1109/ICIP.2014.7025913
M3 - Conference contribution
AN - SCOPUS:84949928214
SN - 9781479957514
SP - 4502
EP - 4506
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -