A Fast Single Image Haze Removal Method Based on Human Retina Property

被引：26

作者：

Ning, Xin ^{[1
]}

Li, Weijun ^{[1
]}

Liu, Wenjie ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2017年 / E100D卷 / 01期

关键词：

haze removal; dark channel prior; Tri-Gaussian; human retina property;

D O I：

10.1587/transinf.2016EDL8180

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, a novel and highly efficient haze removal algorithm is proposed for haze removal from only a single input image. The proposed algorithm is built on the atmospheric scattering model. Firstly, global atmospheric light is estimated and coarse atmospheric veil is inferred based on statistics of dark channel prior. Secondly, the coarser atmospheric veil is refined by using a fast Tri-Gaussian filter based on human retina property. To avoid halo artefacts, we then redefine the scene albedo. Finally, the haze-free image is derived by inverting the atmospheric scattering model. Results on some challenging foggy images demonstrate that the proposed method can not only improve the contrast and visibility of the restored image but also expedite the process.

引用

页码：211 / 214

页数：4

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