现代电子技术2011，Vol.34Issue(18)：50-52,3.
基于小波变换与改进中值滤波的红外图像去噪
Infrared Image De-noising Based on Wavelet Transform and Improved Median Filtering
摘要
Abstract
The image de-noising is a core and hot issue in the research area of infrared imaging. The denoising effect of the thermograph plays an important role in the later image processing. An improved algorithm is proposed to overcome the disad-vantage that the aberration details of infrared thermal images can not be remained in traditional infrared thermal image denoising algorithms. This method adopts the improved median filtering and wavelet transform to perform the denoising pro-cessing of infrared thermographs. The experimental simulation shows that the method can effectively remain the aberration de-tails of infrared thermal images, and has an ideal effect of noise suppression and better robustness for the post processing.关键词
红外图像/小波变换/中值滤波/去噪Key words
infrared image/wavelet transform/median filtering/denoising分类
信息技术与安全科学引用本文复制引用
胡静波..基于小波变换与改进中值滤波的红外图像去噪[J].现代电子技术,2011,34(18):50-52,3.基金项目
宝鸡文理学院重点项目(ZK10154) （ZK10154）
