IEICE TRANSACTIONS on Information
Single Image Dehazing Using Invariance Principle
Summary :
In this letter, we propose a novel technique to increase the visibility of the hazy image. Benefiting from the atmospheric scattering model and the invariance principle for scene structure, we formulate structure constraint equations that derive from two simulated inputs by performing gamma correction on the input image. Relying on the inherent boundary constraint of the scattering function, the expected scene albedo can be well restored via these constraint equations. Extensive experimental results verify the power of the proposed dehazing technique.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.12 pp.3068-3072
- Publication Date
- 2017/12/01
- Publicized
- 2017/09/01
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017EDL8134
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Mingye JU
Nanjing University of Posts and Telecommunications
Zhenfei GU
Nanjing University of Posts and Telecommunications
Dengyin ZHANG
Nanjing University of Posts and Telecommunications
Jian LIU
Nanjing University of Posts and Telecommunications
Keyword
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Mingye JU, Zhenfei GU, Dengyin ZHANG, Jian LIU, "Single Image Dehazing Using Invariance Principle" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 12, pp. 3068-3072, December 2017, doi: 10.1587/transinf.2017EDL8134.
Abstract: In this letter, we propose a novel technique to increase the visibility of the hazy image. Benefiting from the atmospheric scattering model and the invariance principle for scene structure, we formulate structure constraint equations that derive from two simulated inputs by performing gamma correction on the input image. Relying on the inherent boundary constraint of the scattering function, the expected scene albedo can be well restored via these constraint equations. Extensive experimental results verify the power of the proposed dehazing technique.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8134/_p
Copy
@ARTICLE{e100-d_12_3068,
author={Mingye JU, Zhenfei GU, Dengyin ZHANG, Jian LIU, },
journal={IEICE TRANSACTIONS on Information},
title={Single Image Dehazing Using Invariance Principle},
year={2017},
volume={E100-D},
number={12},
pages={3068-3072},
abstract={In this letter, we propose a novel technique to increase the visibility of the hazy image. Benefiting from the atmospheric scattering model and the invariance principle for scene structure, we formulate structure constraint equations that derive from two simulated inputs by performing gamma correction on the input image. Relying on the inherent boundary constraint of the scattering function, the expected scene albedo can be well restored via these constraint equations. Extensive experimental results verify the power of the proposed dehazing technique.},
keywords={},
doi={10.1587/transinf.2017EDL8134},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Single Image Dehazing Using Invariance Principle
T2 - IEICE TRANSACTIONS on Information
SP - 3068
EP - 3072
AU - Mingye JU
AU - Zhenfei GU
AU - Dengyin ZHANG
AU - Jian LIU
PY - 2017
DO - 10.1587/transinf.2017EDL8134
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2017
AB - In this letter, we propose a novel technique to increase the visibility of the hazy image. Benefiting from the atmospheric scattering model and the invariance principle for scene structure, we formulate structure constraint equations that derive from two simulated inputs by performing gamma correction on the input image. Relying on the inherent boundary constraint of the scattering function, the expected scene albedo can be well restored via these constraint equations. Extensive experimental results verify the power of the proposed dehazing technique.
ER -
English
