大雾天气下模糊图像清晰化方法研究  

Study On Fuzzy Image Sharpening Method In Foggy Weather

作　　者：刘璐 LIU Lu(School of ZTE Communication,,Xi'an Traffic Engineering Institute,Xi’an 710300)

机构地区：[1]西安交通工程学院中兴通信学院,西安710300

出　　处：《西安交通工程学院学术研究》2021年第1期44-46,70,共4页Academic Research of Xi'an Traffic Engineering Institute

摘　　要：针对雾天环境下的模糊图像的增强进行了研究,利用直方图修正的方法对模糊图像进行增强,其包含直方图均衡化和直方图规定化。直方图均衡化是以灰度概率分布变换的方式,使之成为具有均匀灰度概率分布的一幅新图像。这样可以增大图像的灰度间距,通过增大反差,可以将图像的细节更清晰化。直方图规定化是通过修改直方图,将图像中感兴趣的灰度范围进行突出化。该方法依据给定的期望直方图来增强图像。通过对大量不同的模糊图像测试结果证实,该方法的效果较好,能够将模糊的图像清晰化。In this paper,the enhancement of fuzzy image in foggy environment is studied.The method of histogram correction is used to enhance fuzzy image,which includes histogram equalization and histogram specification.Histogram equalization is a new image with uniform gray probability distribution by transforming the gray probability distribution.This increases the grayscale spacing of the image and,by increasing the contrast,makes the details of the image sharper.Histogram specification is to highlight the gray scale range of interest in the image by modifying the histogram.The method enhances the image according to the given desired histogram.The test results on a large number of different blurred images show that the method is effective and can make blurred images clear.

关 键 词：模糊图像 直方图均衡化 直方图规定化 图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]