IEICE TRANSACTIONS on Fundamentals
Iterative Image Dehazing Using the Dark Channel Prior
Summary :
The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze-free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.10 pp.1904-1906
- Publication Date
- 2016/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1904
- Type of Manuscript
- LETTER
- Category
- Image
Authors
Sung-Ho LEE
Korea University
Seung-Won JUNG
Dongguk University-Seoul
Sung-Jea KO
Korea University
Keyword
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Sung-Ho LEE, Seung-Won JUNG, Sung-Jea KO, "Iterative Image Dehazing Using the Dark Channel Prior" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 10, pp. 1904-1906, October 2016, doi: 10.1587/transfun.E99.A.1904.
Abstract: The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze-free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1904/_p
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@ARTICLE{e99-a_10_1904,
author={Sung-Ho LEE, Seung-Won JUNG, Sung-Jea KO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Iterative Image Dehazing Using the Dark Channel Prior},
year={2016},
volume={E99-A},
number={10},
pages={1904-1906},
abstract={The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze-free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.},
keywords={},
doi={10.1587/transfun.E99.A.1904},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Iterative Image Dehazing Using the Dark Channel Prior
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1904
EP - 1906
AU - Sung-Ho LEE
AU - Seung-Won JUNG
AU - Sung-Jea KO
PY - 2016
DO - 10.1587/transfun.E99.A.1904
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2016
AB - The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze-free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.
ER -
English
