摘要
针对激光主动成像图像的特点,提出了将小波变换和中值滤波相结合的图像去噪方法。在对小波分解后的水平、垂直和对角3个方向高频细节图像进行处理时,我们采用3种不同形状的模板进行均值滤波,为了保护图像的边缘和细节信息,采用边缘检测法来将高频中的边缘细节与噪声分开。实验结果表明:该方法在降低图像噪声的同时又较好地保留了图像的细节,去噪效果比较理想。
According to image characteristics of laser active imaging, a new image denoising method is presented combining wavelet transform and median filter. After wavelet transform, high frequency sub-band images at horizontal, vertical and angular directions are denoised by three different filter templates. In order to protect edge information, edge detection is used to separate edge information from noises. Denoised-image was gained by composing the three high frequency detail images with mean filtering and low frequency approximation image. Experimental results show that this method can remove the noise of image effectively. Meanwhile, the detail of the image is kept well and the de-noising effect is better.
出处
《强激光与粒子束》
EI
CAS
CSCD
北大核心
2009年第12期1786-1790,共5页
High Power Laser and Particle Beams
关键词
小波变换
主动成像
图像去噪
中值滤波
滤波模版
wavelet transform
active imaging
image denoising
median filtering
filtering template
作者简介
许毅玢（1984-），男，山西运城人，硕士，主要从事强激光与光电对抗研究；xuyb1013@163．com。
