摘要
雾天的交通影响着人们的出行,是否可以安全的出行是人人所关心的问题.为获取含雾图像更多的特征信息,提出一种基于小波变换的交通图像去雾方法.一方面在RGB颜色空间对图像进行直方图均衡处理来增强图像的整体的对比度;另一方面在HSV色彩空间,对V分量进行小波变换处理,将分解得到的低频子带采取双边滤波处理的方式,而对多个高频子带进行非线性变换处理方式,将处理过的低频子带和多个高频子带,利用小波逆变换进行重构.最后将两幅图像进行线性组合,得到最终的去雾图像.实验结果表明,与其他方法相比,本文方法处理的的图像所含信息较高,便于人眼观察。
The traffic in foggy weather affects people's travel.Whether it is safe to travel is everyone's concern.In order to obtain more information of fog⁃containing images,a method of traffic image defogging based on wavelet transform is proposed.On the one hand,histogram equalization is carried out in the RGB color space to enhance the overall contrast of the image.In HSV color space on the other hand,wavelet transform was carried out on the V component processing,will get the low⁃frequency subband decomposition of bilateral filtering processing,and high frequency subband to multiple nonlinear transformation approach,will be treated with the low⁃frequency subband and several high frequency subband,reconstruct the wavelet inverse transformation.The final will have a linear combination of two images and get the final image to fog.The experimental results show that,compared with other methods,the method of processing the image contains information is higher,to the human eye observation.
作者
贺欢
吐尔洪江·阿布都克力木
何笑
HE Huan;TURGHUNJIAN·Abdukirim;HE Xiao(School of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China)
出处
《电子设计工程》
2020年第12期56-59,65,共5页
Electronic Design Engineering
基金
国家自然科学基金资助项目(11261061,61362039)
新疆师范大学数学教学资源开发重点实验室招标课题(XJNUSY082017B03)。
