摘要
雾霾天气屡见不鲜,不仅影响了人们的生活、健康,且雾天采集的图片失真,不利于图像的特征提取及识别,城市监控系统、智能交通系统也因此作用大打折扣,此外,对航空摄影系统、卫星遥感系统等也带来了严重的影响。该文在MAT LAB开发平台下,设计并实现了一个图像去雾综合平台,实现了直方图均衡化、双直方图均衡化、加权双直方图均衡化这三种不同的图像去雾方法,并结合图像信息熵和对比度的数值来评价图像去雾的效果。
The frequent occurrence of haze weather not only affects people's life and health,but also distorts the image collected in fog days,which is not conducive to the extraction and recognition of image features.Therefore,the city monitoring system and intelligent transportation system also play a reduced role.In addition,it has also brought serious impact on the aerial photography system and satel lite remote sensing system.In this paper,a comprehensive platform for image defogging is designed and implemented under the develop ment plat form of MATLAB.Three different image defogging methods,namely histogram equalization,double histogram equalization and weighted double histogram equalization,are realized.The effect of image defogging is evaluated by combining the values of image infor mation entropy and contrast.
作者
李哲鑫
郭遥
季洁
LI Zhe-xin;GUO Yao;JI Jie(College of Computer and Information Engineering,Hunan University of Technology and Business,Changsha 410205,China)
出处
《电脑知识与技术》
2020年第6期180-182,共3页
Computer Knowledge and Technology
基金
2018年度湖南省大学生研究性学习和创新性实验计划项目
湖南省教育厅项目,基于快速机器学习模型的图像去雾方法研究(19C1042)。
关键词
图像去雾
直方图均衡化
图像去雾平台
图像增强
image defogging
histogram equalization
image defogging platform
image enhancement
