A Unified Framework of Single Image Haze Removal under Different Weather Conditions

被引：0

作者：

Li, Yi-Fan ^{[1
]}

Su, Qiang ^{[1
]}

Pan, Jeng-Shyang ^{[1
,2
]}

Li, Jun-Bao ^{[3
]}

Cui, Wei ^{[1
]}

Liu, Huan-Yu ^{[3
]}

机构：

[1] Harbin Inst Technol, Shenzhen Grad Sch, Innovat Informat Ind Res Ctr, Shenzhen 518055, Peoples R China

[2] Fujian Univ Technol, Coll Informat Sci & Engn, Fuzhou 350118, Peoples R China

[3] Harbin Inst Technol, Dept Automat Test & Control, Shenzhen, Peoples R China

来源：

INTELLIGENT DATA ANALYSIS AND APPLICATIONS | 2015年 / 370卷

关键词：

Single image; Haze removal; Image enhancement; RETINEX THEORY; COLOR; VISION;

D O I：

10.1007/978-3-319-21206-7_33

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Outdoor images are usually affected by haze, fog and smoke which are such phenomena due to atmospheric scatting, so that the degraded images suffer from the loss of contrast and color fidelity. In this paper, we summed up a variety of haze removal techniques which are grouped into two categories: physics based and non physics based, and processed some hazy images under different weather conditions. Then, we make a comparison among these results, and analyze their advantages and shortcomings, estimate the appropriate haze removed technique for each weather condition. Finally, we lay further discussions on technical challenges and future development.

引用

页码：393 / 403

页数：11

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