摘要
在图像处理过程中,噪声处理效果影响图像的后继分析处理质量。介绍了几种经典图像去噪方法算法的原理及各自的优缺点。通过仿真实验,对比几种方法去除高斯噪声和椒盐噪声的效果,结果显示均值滤波算法去除高斯噪声效果较好,而中值滤波算法去除椒盐噪声效果较好。
In image process, denoising result will definitely affect the final analyis and processing quality. This paper introduces several classical image denoising algorithms and the advantages and disadvantages of each. A simulation experiments was made to compare effects of classic methods for removing Gaussian noise and salt and pepper noise. The results show mean filtering algorithm is better to remove Ganssian noise, and median filtering algorithm is better to remove salt and pepper noise.
出处
《电脑与信息技术》
2014年第6期17-18,共2页
Computer and Information Technology
关键词
均值滤波
中值滤波
维纳滤波
小波滤波
mean filtering
median filtering
wiener filtering
wavelet filtering