SINGLE IMAGE BASED HAZE REMOVAL METHOD

被引：0

作者：

Zhang, Qieshi ^{[1
]}

Kamata, Sei-Ichiro ^{[1
]}

机构：

[1] Waseda Univ, Grad Sch Informat Prod & Syst, Tokyo, Japan

来源：

FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING (ICCEE 2011) | 2011年

关键词：

Haze removal; Image enhancement; Single image; Optical model;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we propose a novel method to estimate the haze-free image based on the improved optical model. In this work, we calculate the objective transmission and distance transmission to estimate the haze-free image by the segmented hazy image. Firstly, the color clustering method is used to segment the image into several regions by color similarity for getting the objective transmission. Then, the graph-based segmentation is used to calculate the depth information for getting the distance transmission. Next, the atmosphere light is estimated according to the distance transmission Finally, the improved optical model is used to estimate the haze-free image. The experimental results show that our method is more effective and able to get better results than other single image based methods.

引用

页码：365 / 369

页数：5

共 50 条

[41] PMHLD: Patch Map-Based Hybrid Learning DehazeNet for Single Image Haze Removal [J].

Chen, Wei-Ting ;

Fang, Hao-Yu ;

Ding, Jian-Jiun ;

Kuo, Sy-Yen .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 :6773-6788

[42] An Improved Single Image Haze Removal Algorithm Based on Dark Channel Prior and Histogram Specification [J].

Yang, Shuai ;

Zhu, Qingsong ;

Wang, Jianjun ;

Wu, Di ;

Xie, Yaoqin .

PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 :279-292

[43] Nighttime Image Haze Removal and Enhancement Based on Improved Atmospheric Scattering Model [J].

Lin, Jun ;

Zhang, Xingming ;

Li, Huijuan ;

Liu, Zhihui .

2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018, 10836

[44] Single Image Haze Removal Based on Dark Channel Prior Applied on Air Duct Robot [J].

Yang, Pengfei ;

Sun, Wei ;

Liu, Shengnan ;

OuYang, Minghua .

ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 :1307-1310

[45] Haze removal from a single remote sensing image based on a fully convolutional neural network [J].

Ke, Ling ;

Liao, Puyun ;

Zhang, Xiaodong ;

Chen, Guanzhou ;

Zhu, Kun ;

Wang, Qing ;

Tan, Xiaoliang .

JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (03)

[46] A New Haze Removal Algorithm for Single Urban Remote Sensing Image [J].

Huang, Shiqi ;

Liu, Yang ;

Wang, Yiting ;

Wang, Zuliang ;

Guo, Jinku .

IEEE ACCESS, 2020, 8 (100870-100889) :100870-100889

[47] Single Image Haze Removal Using Weak Dark Channel Prior [J].

Hsieh, Cheng-Hsiung ;

Zhao, Qiangfu ;

Cheng, Wen-Chang .

2018 9TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2018, :214-219

[48] Improved Color Attenuation Prior for Single-Image Haze Removal [J].

Dat Ngo ;

Lee, Gi-Dong ;

Kang, Bongsoon .

APPLIED SCIENCES-BASEL, 2019, 9 (19)

[49] Single Image Haze Removal Using Deep Cellular Automata Learning [J].

Tangsakul, Surasak ;

Wongthanavasu, Sartra .

IEEE ACCESS, 2020, 8 :103181-103199

[50] Deep Fully Convolutional Regression Networks for Single Image Haze Removal [J].

Zhao, Xi ;

Wang, Keyan ;

Li, Yunsong ;

Li, Jiaojiao .

2017 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2017,

← 1 2 3 4 5 →