一种基于小波变换的图像去雾方法  

Image Defogging Based on Wavelet Transform

作　　者：贺欢 吐尔洪江·阿布都克力木[1] 何笑 HE Huan;TURGHUNJIAN·Abdukirim;HE Xiao(School of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China)

机构地区：[1]新疆师范大学数学科学学院,新疆乌鲁木齐830017

出　　处：《电脑知识与技术》2020年第23期176-177,180,共3页Computer Knowledge and Technology

基　　金：国家自然科学基金资助项目(No.11261061,No.61362039);新疆师范大学数学教学资源开发重点实验室招标课题(No.XJ⁃NUSY082017B03)。

摘　　要：为获得雾天图像的重要信息,提出一种基于小波变换的图像去雾方法。对含雾图像进行一层小波分解,对低频图像进行单尺度Retinex增强和同态滤波处理,然后将处理过的两个低频图像进行线性组合得到新的低频图像,最后将新的低频图像与未处理的高频图像进行小波逆变换重构,得到最终得去雾图像,实验结果表明,与其他去雾方法相比,本文方法处理的图像清晰度较高,时间较快。This paper proposes an image to fog method based on wavelet transform.To a layer of fog image wavelet decomposition,single-scale Retinex in low-frequency image enhancement and homomorphic filtering processing finally will be processed two lin⁃ear combinations of the low-frequency image to a new low-frequency image,the final will be a new low-frequency image and un⁃processed inverter in the high-frequency image with wavelet reconstruction,eventually,have to go to the fog image,the experimen⁃tal results show that compared with other methods to fog,the method to deal with higher image resolution,time quickly.

关 键 词：小波变换 MALLAT算法 单尺度Retinex 同态滤波 

分 类 号：TN957.52[电子电信—信号与信息处理]