An Improved Dehazing Algorithm Based on Near Infrared Image

被引：0
|
作者：
Han S. [1 ,2 ]
Huang C. [1 ]
Li W. [1 ,2 ]
Cheng P. [1 ,2 ]
机构：
[1] School of Aeronautics and Astronautics, Sichuan Univ., Chengdu
[2] National Key Lab. of Air Traffic Control Automation System Technol., Sichuan Univ., Chengdu
来源：
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences | 2018年 / 50卷 / 02期
关键词：
Dark channel; Haze removal; Image fusion; Near-infrared image;
D O I：
10.15961/j.jsuese.201700179
中图分类号：
学科分类号：
摘要：
In order to address the problem of visible image degradation caused by the hazy weather conditions, a dehazing algorithm was proposed, in which the color information of the visible image and details information of the near-infrared image were fully taken advantage of.Firstly, the haze density of visible image was estimated according to the information of dark channel, based on which the visible image was partitioned.Then the visible image and near-infrared image were decomposed by stationary wavelet transform.By using haze density partitioning and pulse coupled neural network, the high-frequency component and low-frequency component in visible and near-infrared images werefused, and a clear and high-fidelity image was obtained.Afterwards, the composited image was filtered by a guidance filter to smooth the boundaries of partitioned areas and preserve the edge information of source image.To validate the effectiveness of the proposed algorithm, groups of experiments were conducted to compare it and other state-of-the-art dehazing algorithms.The comparison indexes include information entropy, mean value and standard deviation of dehazed image as well as computation time of algorithms.The results showed that the proposed algorithm achieved a better visual effect, and the color information in haze-free areas was retained.Besides, all the comparison indexes related to image detail and image clarity were superior to that of other algorithms.Meanwhile, the computation time cost of the proposed algorithmwas significantly decreased. © 2018, Editorial Department of Advanced Engineering Sciences. All right reserved.
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页码：99 / 104
页数：5
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