Hazes with various properties spread widely across flat areas with depth continuities and corner areas with depth discontinuities. Removing haze from a single hazy image is difficult due to its ill-posed nature. To solve this problem, this study proposes a modified hybrid median filter that performs a median filter to preserve the edges of flat areas and a hybrid median filter to preserve depth discontinuity corners. Recovered scene radiance, which is obtained by removing hazy particles, restores image visibility using adaptive nonlinear curves for dynamic range expansion. Using comparative studies and quantitative evaluations, this study shows that the proposed method achieves similar or better results than those of other state-of-the-art methods.
Geun-Jun KIM
Dong-A University
Seungmin LEE
Dong-A University
Bongsoon KANG
Dong-A University
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Geun-Jun KIM, Seungmin LEE, Bongsoon KANG, "Single Image Haze Removal Using Hazy Particle Maps" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 11, pp. 1999-2002, November 2018, doi: 10.1587/transfun.E101.A.1999.
Abstract: Hazes with various properties spread widely across flat areas with depth continuities and corner areas with depth discontinuities. Removing haze from a single hazy image is difficult due to its ill-posed nature. To solve this problem, this study proposes a modified hybrid median filter that performs a median filter to preserve the edges of flat areas and a hybrid median filter to preserve depth discontinuity corners. Recovered scene radiance, which is obtained by removing hazy particles, restores image visibility using adaptive nonlinear curves for dynamic range expansion. Using comparative studies and quantitative evaluations, this study shows that the proposed method achieves similar or better results than those of other state-of-the-art methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1999/_p
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@ARTICLE{e101-a_11_1999,
author={Geun-Jun KIM, Seungmin LEE, Bongsoon KANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Single Image Haze Removal Using Hazy Particle Maps},
year={2018},
volume={E101-A},
number={11},
pages={1999-2002},
abstract={Hazes with various properties spread widely across flat areas with depth continuities and corner areas with depth discontinuities. Removing haze from a single hazy image is difficult due to its ill-posed nature. To solve this problem, this study proposes a modified hybrid median filter that performs a median filter to preserve the edges of flat areas and a hybrid median filter to preserve depth discontinuity corners. Recovered scene radiance, which is obtained by removing hazy particles, restores image visibility using adaptive nonlinear curves for dynamic range expansion. Using comparative studies and quantitative evaluations, this study shows that the proposed method achieves similar or better results than those of other state-of-the-art methods.},
keywords={},
doi={10.1587/transfun.E101.A.1999},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Single Image Haze Removal Using Hazy Particle Maps
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1999
EP - 2002
AU - Geun-Jun KIM
AU - Seungmin LEE
AU - Bongsoon KANG
PY - 2018
DO - 10.1587/transfun.E101.A.1999
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2018
AB - Hazes with various properties spread widely across flat areas with depth continuities and corner areas with depth discontinuities. Removing haze from a single hazy image is difficult due to its ill-posed nature. To solve this problem, this study proposes a modified hybrid median filter that performs a median filter to preserve the edges of flat areas and a hybrid median filter to preserve depth discontinuity corners. Recovered scene radiance, which is obtained by removing hazy particles, restores image visibility using adaptive nonlinear curves for dynamic range expansion. Using comparative studies and quantitative evaluations, this study shows that the proposed method achieves similar or better results than those of other state-of-the-art methods.
ER -