摘要
为了解决天气等环境因素导致图像低照度、模糊等问题,笔者设计了一个基于直方图均衡化的图像增强系统。该系统首先通过全局直方图均衡化扩大图像灰度值的动态范围,再通过局部直方图均衡化放大局部细节,来获取更清晰的图像局部信息,从而能提高图像在不失真条件下的清晰度。在MATLAB2017b软件上对该系统进行设计仿真实验,以除雾为例,实验结果表明,该系统对图像的增强效果较好。
In order to solve the problem of low illumination and blur caused by weather and other environmental factors,an image enhancement system based on histogram equalization is designed.The system first expands the dynamic range of image gray value by global histogram equalization,and then enlarges the local details by local histogram equalization to obtain clearer local information of image,so as to improve the clarity of image without distortion.The system is designed and simulated on matlab2017b software.Taking demisting as an example,the experimental results show that the system has a good image enhancement effect.
作者
朱强军
楚引弟
方圆
Zhu Qiangjun;Chu Yindi;Fang Yuan(Wanjiang College of Anhui Normal University,Wuhu Anhui 241008,China)
出处
《信息与电脑》
2020年第10期45-47,共3页
Information & Computer
基金
2018年度高等学校省级质量工程项目(项目编号:201813617042)
2018年度省高校自然科学研究项目(项目编号:KJ2018A0655)。
关键词
直方图
均衡化
图像增强
histogram
equalization
image enhancement
