Single Image Haze Removal Using Structure-Aware Atmospheric Veil

Yun LIU; Rui CHEN; Jinxia SHANG; Minghui WANG

doi:10.1587/transinf.2017EDL8123

Single Image Haze Removal Using Structure-Aware Atmospheric Veil

Yun LIU, Rui CHEN, Jinxia SHANG, Minghui WANG

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Summary :

In this letter, we propose a novel and effective haze removal method by using the structure-aware atmospheric veil. More specifically, the initial atmospheric veil is first estimated based on dark channel prior and morphological operator. Furthermore, an energy optimization function considering the structure feature of the input image is constructed to refine the initial atmospheric veil. At last, the haze-free image can be restored by inverting the atmospheric scattering model. Additionally, brightness adjustment is also performed for preventing the dehazing result too dark. Experimental results on hazy images reveal that the proposed method can effectively remove the haze and yield dehazing results with vivid color and high scene visibility.

Publication: IEICE TRANSACTIONS on Information Vol.E100-D No.11 pp.2729-2733

Publication Date: 2017/11/01

Publicized: 2017/08/04

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2017EDL8123

Type of Manuscript: LETTER

Category: Image Processing and Video Processing

Authors

Yun LIU
  Sichuan University
Rui CHEN
  Northwest University
Jinxia SHANG
  Sichuan University
Minghui WANG
  Sichuan University

Keyword

haze removal, atmospheric scattering model, dark channel prior, atmospheric veil, structure-aware

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Yun LIU, Rui CHEN, Jinxia SHANG, Minghui WANG, "Single Image Haze Removal Using Structure-Aware Atmospheric Veil" in IEICE TRANSACTIONS on Information, vol. E100-D, no. 11, pp. 2729-2733, November 2017, doi: 10.1587/transinf.2017EDL8123.
Abstract: In this letter, we propose a novel and effective haze removal method by using the structure-aware atmospheric veil. More specifically, the initial atmospheric veil is first estimated based on dark channel prior and morphological operator. Furthermore, an energy optimization function considering the structure feature of the input image is constructed to refine the initial atmospheric veil. At last, the haze-free image can be restored by inverting the atmospheric scattering model. Additionally, brightness adjustment is also performed for preventing the dehazing result too dark. Experimental results on hazy images reveal that the proposed method can effectively remove the haze and yield dehazing results with vivid color and high scene visibility.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8123/_p

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@ARTICLE{e100-d_11_2729,
author={Yun LIU, Rui CHEN, Jinxia SHANG, Minghui WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Single Image Haze Removal Using Structure-Aware Atmospheric Veil},
year={2017},
volume={E100-D},
number={11},
pages={2729-2733},
abstract={In this letter, we propose a novel and effective haze removal method by using the structure-aware atmospheric veil. More specifically, the initial atmospheric veil is first estimated based on dark channel prior and morphological operator. Furthermore, an energy optimization function considering the structure feature of the input image is constructed to refine the initial atmospheric veil. At last, the haze-free image can be restored by inverting the atmospheric scattering model. Additionally, brightness adjustment is also performed for preventing the dehazing result too dark. Experimental results on hazy images reveal that the proposed method can effectively remove the haze and yield dehazing results with vivid color and high scene visibility.},
keywords={},
doi={10.1587/transinf.2017EDL8123},
ISSN={1745-1361},
month={November},}

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TY - JOUR
TI - Single Image Haze Removal Using Structure-Aware Atmospheric Veil
T2 - IEICE TRANSACTIONS on Information
SP - 2729
EP - 2733
AU - Yun LIU
AU - Rui CHEN
AU - Jinxia SHANG
AU - Minghui WANG
PY - 2017
DO - 10.1587/transinf.2017EDL8123
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2017
AB - In this letter, we propose a novel and effective haze removal method by using the structure-aware atmospheric veil. More specifically, the initial atmospheric veil is first estimated based on dark channel prior and morphological operator. Furthermore, an energy optimization function considering the structure feature of the input image is constructed to refine the initial atmospheric veil. At last, the haze-free image can be restored by inverting the atmospheric scattering model. Additionally, brightness adjustment is also performed for preventing the dehazing result too dark. Experimental results on hazy images reveal that the proposed method can effectively remove the haze and yield dehazing results with vivid color and high scene visibility.
ER -