工程科学与技术2018，Vol.50Issue(2)：99-104,6.DOI:10.15961/j.jsuese.201700179
一种改进的基于近红外图像的去雾方法
An Improved Dehazing Algorithm Based on Near Infrared Image
摘要
Abstract
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 par-titioned.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 parti-tioned 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 clar-ity were superior to that of other algorithms.Meanwhile,the computation time cost of the proposed algorithmwas significantly decreased.关键词
图像去雾/近红外图像/图像融合/暗通道Key words
haze removal/near-infrared image/image fusion/dark channel分类
信息技术与安全科学引用本文复制引用
韩松臣,黄畅昕,李炜,程鹏..一种改进的基于近红外图像的去雾方法[J].工程科学与技术,2018,50(2):99-104,6.基金项目
国家自然科学基金资助项目(61403065) （61403065）
四川大学引进人才科研启动基金资助项目(2082204194074) （2082204194074）
