基于一种改进的中值滤波去噪算法的应用分析
pplication and analysis about an improved arithmetics for median filtering image denoising
去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法,选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上,进一步研究了中值滤波去噪算法,同时对其他去噪算法,如均值滤波、低通滤波的小波变换进行分析研究,并做了相应的比较。
Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them.
郭文明、刘国宏
电子技术应用
图像去噪中值滤波均值滤波小波变换
image denoisingmedian filteringmean filteringwavelet transform
郭文明,刘国宏.基于一种改进的中值滤波去噪算法的应用分析[EB/OL].(2008-05-14)[2025-08-19].http://www.paper.edu.cn/releasepaper/content/200805-350.点此复制
评论