Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model
Summary :
This paper presents an image haze removal algorithm for a single image. The conventional Dark Channel Prior (DCP) algorithm estimates the transmission map using the dark information in an image. The haze regions are then detected using a matting algorithm. However, the resulting transmission map invariably includes some block artifacts as the DCP algorithm is based on block-based processing. Therefore, to solve this problem, an algorithm for a modified transmission map is proposed using a Hidden Markov Random Field (HMRF) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.8 pp.1820-1822
- Publication Date
- 2014/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.1820
- Type of Manuscript
- LETTER
- Category
- Image
Authors
Min-Hyuk LEE
Changwon National University
Oh-Seol KWON
Changwon National University
Keyword
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Min-Hyuk LEE, Oh-Seol KWON, "Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 8, pp. 1820-1822, August 2014, doi: 10.1587/transfun.E97.A.1820.
Abstract: This paper presents an image haze removal algorithm for a single image. The conventional Dark Channel Prior (DCP) algorithm estimates the transmission map using the dark information in an image. The haze regions are then detected using a matting algorithm. However, the resulting transmission map invariably includes some block artifacts as the DCP algorithm is based on block-based processing. Therefore, to solve this problem, an algorithm for a modified transmission map is proposed using a Hidden Markov Random Field (HMRF) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.1820/_p
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@ARTICLE{e97-a_8_1820,
author={Min-Hyuk LEE, Oh-Seol KWON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model},
year={2014},
volume={E97-A},
number={8},
pages={1820-1822},
abstract={This paper presents an image haze removal algorithm for a single image. The conventional Dark Channel Prior (DCP) algorithm estimates the transmission map using the dark information in an image. The haze regions are then detected using a matting algorithm. However, the resulting transmission map invariably includes some block artifacts as the DCP algorithm is based on block-based processing. Therefore, to solve this problem, an algorithm for a modified transmission map is proposed using a Hidden Markov Random Field (HMRF) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.},
keywords={},
doi={10.1587/transfun.E97.A.1820},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1820
EP - 1822
AU - Min-Hyuk LEE
AU - Oh-Seol KWON
PY - 2014
DO - 10.1587/transfun.E97.A.1820
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2014
AB - This paper presents an image haze removal algorithm for a single image. The conventional Dark Channel Prior (DCP) algorithm estimates the transmission map using the dark information in an image. The haze regions are then detected using a matting algorithm. However, the resulting transmission map invariably includes some block artifacts as the DCP algorithm is based on block-based processing. Therefore, to solve this problem, an algorithm for a modified transmission map is proposed using a Hidden Markov Random Field (HMRF) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.
ER -
English
