The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
다양한 특성을 지닌 연무는 깊이 연속성이 있는 평평한 영역과 깊이 불연속성이 있는 모서리 영역에 걸쳐 널리 퍼집니다. 단일 흐릿한 이미지에서 안개를 제거하는 것은 잘못된 자세로 인해 어렵습니다. 이러한 문제를 해결하기 위해 본 연구에서는 평평한 영역의 모서리를 유지하는 미디안 필터와 깊이 불연속 모서리를 유지하는 하이브리드 미디안 필터를 수행하는 변형된 하이브리드 메디안 필터를 제안합니다. 흐릿한 입자를 제거하여 얻은 복원된 장면 휘도는 동적 범위 확장을 위한 적응형 비선형 곡선을 사용하여 이미지 가시성을 복원합니다. 비교 연구와 정량적 평가를 통해 본 연구에서는 제안한 방법이 다른 최신 방법과 유사하거나 더 나은 결과를 얻는다는 것을 보여줍니다.
Geun-Jun KIM
Dong-A University
Seungmin LEE
Dong-A University
Bongsoon KANG
Dong-A University
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부
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
부
@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},}
부
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 -