Video Image Dehazing Algorithm Based on Multi-scale Retinex with Color Restoration

被引：13

作者：

Mei Xue ^{[1
]}

Yang Ji ^{[1
]}

Zhang Yuyan ^{[1
]}

Li Weiwei ^{[1
]}

Zhang Jiugen ^{[1
]}

机构：

[1] Nanjing Tech Univ, Coll Automat & Elect Engn, Nanjing 210019, Jiangsu, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2016) | 2016年

关键词：

real-time dehazing; guided filter; multi-scale Retinex; color restoration;

D O I：

10.1109/ICSGEA.2016.42

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Intelligent video surveillance in modern city is becoming more and more popular, and higher quality of images is required in video automatic analysis and recognition. In this paper, we develop a kind of haze-free method for outdoor foggy video image with low contrast. The method is based on the multi-scale guided filtering combined with Retinex algorithm. Compared with the traditional series method of Retinex, it may better in the following aspects: process the details in image enhancement, color fidelity and overcome noise etc. The experimental results show the advantages of our algorithm through three indicator values: information entropy, average gradient, and variance.

引用

页码：195 / 200

页数：6

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