摘要
文章针对户外雾天场景下采集到的图像中包含大面积浓雾,影响图像细节信息的提取等问题,提出了一种基于小波变换的图像去雾方法。首先将含雾图像转换为灰度图像,再使用二维离散小波变换对灰度图像进行一次分解,对分解后得到的低频子图使用灰度线性变换处理,对三个高频子图分别使用灰度非线性变换处理,最后将处理后的四个子图进行二维离散小波逆变换重构,得到目标图像。仿真实验表明,文章所提方法与其他增强函数处理相比,去雾效果较好。
In this paper,a method of image defogging based on wavelet transform is proposed to solve the problem that the image collected in the scene of outdoor fog contains a large area of fog and affects the extraction of imagedetails.First,the fog image is transformed into gray image,then the gray image is decomposed by two-dimensional discrete wavelet transform,the low-frequency subgraph is processed by gray linear transformation,the three high-frequency subgraphs are processed by gray nonlinear transformation,and the four subgraphs are reconstructed by two-dimensional discrete wavelet inverse transformation to obtain the target image.Simulation results show that the proposed method and other enhancement function processing compared,the defogging effect is better.
作者
贺欢
吐尔洪江·阿布都克力木
何笑
HE Huan;TUERHONGJIANG·Abudukelimu;HE Xiao(School of Mathematical Sciences,Xinjiang Normal University,Urumqi,Xinjiang,830017,China)
出处
《新疆师范大学学报（自然科学版）》
2020年第1期23-27,共5页
Journal of Xinjiang Normal University(Natural Sciences Edition)
基金
国家自然科学基金资助项目(11261061,61362039,10661010)
新疆维吾尔自治区自然科学基金资助项目(200721104)
新疆师范大学数学教学资源开发重点实验室招标课题(XJNUSY082017B03)等资助。
关键词
小波变换
MALLAT算法
灰度线性变换
非线性变换
Wavelet transform
MALLAT algorithm
Gray linear transformation
Nonlinear transformation
