摘要
在实际获取的数字图像中,不可避免地参杂了不同程度的噪声,去除噪声是图像预处理中非常重要的步骤。介绍了均值滤波、统计排序滤波和自适应滤波的基本去噪原理,利用上述去噪方法通过matlab仿真,对含有高斯噪声和椒盐噪声的图像进行去噪处理,对仿真结果进行分析比较,从而得出各种去噪方法的特点和使用范围,为实际图像处理中选择合适的去噪方法提供了指导。
Different levels of noise are inevitably mixed in the actual access to digital image. Noise removal is a very important step in image preprocessing. This paper firstly introduces the basic denoising principle of the median filter, statistics filter and adaptive filter, and with which the images with Gaussian noise and salt and pepper noise undergo the denoising process through mat lab simulation. Comparing the simulation results, the author points out that the characteristics and usages of various denoising methods, thus providing a guide for selecting suitable denoising method in actual image processing.
出处
《软件》
2015年第4期33-36,共4页
Software
基金
国家自然科学基金资助项目(61105057)
江苏省高校自然科学面上项目(13KJB520024)
关键词
去噪
均值滤波
统计排序滤波
自适应滤波
Image denoising
Mean filtering
Order statistics filtering
Adaptive filtering
