摘要
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,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。
At the fog cases get gray image quality is studied mainly aims, based on MATLAB digital image processing, the attenuation model is established , 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, median filtering, smoothing filter also be increased 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 increases median filter and smoothing of the smooth realization wiener filtering de-noising and more close relative image restoration.
出处
《科学技术与工程》
北大核心
2012年第24期6208-6215,6225,共9页
Science Technology and Engineering
关键词
雾
MATLAB
退化模型
图像复原
维纳滤波
逆滤波
fog MATLAB degradation model image restoration Wiener filtering inverse fil- tering
