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基于Matlab大雾天气下图像清晰化研究
引用本文:温箐笛.基于Matlab大雾天气下图像清晰化研究[J].科学技术与工程,2012,12(24):6208-6215,6225.
作者姓名:温箐笛
作者单位:贵州财经大学
摘    要:本文主要针对雾天情况下获取的降质灰度图像进行研究,通过MATLAB对数字图像进行处理,建立衰减模型,运用维纳滤波、逆滤波这两种方法来实现灰度图像的清晰化处理。并对这两种方法得到的结果进行了比较分析。同时,在维纳滤波的基础上,本文还增加了中值滤波、平滑滤波两种滤波增强方式对恢复图像进行再处理,实验结果表明,维纳滤波的效果要比逆滤波好得多,而增加了中值滤波和平滑滤波的维纳滤波实现了平滑去噪,恢复图像更接近原图。

关 键 词:    MATAB  退化模型  图像复原  维纳滤波  逆滤波
收稿时间:5/16/2012 9:52:50 AM
修稿时间:6/1/2012 2:02:24 PM

Research of image sharpening in fog based on Matlab
Wen Jingdi.Research of image sharpening in fog based on Matlab[J].Science Technology and Engineering,2012,12(24):6208-6215,6225.
Authors:Wen Jingdi
Institution:WEN Qing-di(Information Department,Guizhou University of Finance and Economics,Guiyang 550004,P.R.China)
Abstract:This article mainly aims at the fog cases get gray image quality is studied, based on MATLAB digital image processing, establish the attenuation model, defined by wiener filtering, inverse filtering of these two methods to realize the specified approach with gray image. These two kinds of methods and the results were compared. At the same time, on the basis of wiener filter, this paper also increased median filtering, smoothing filter to enhance both ways before treatment, image restoration, experimental results show that the effect of wiener filter is much better than the inverse filtering, and increased median filter and smoothing of the smooth realization wiener filtering de-noising and more close relative image restoration.
Keywords:fog  MATLAB  degradation model  image restoration  wiener filtering  inverse filtering
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