摘要
通过二维EMD分解方法,将含有噪声污染的图像分解为一系列细节信息和趋势信息,结合噪声主要集中在高频的层次的特点并引入主成分分析方法确定滤波层数,然后进行图像重组达到去噪和保存细节信息的效果,实验该方法比传统的去噪方法更佳有效。
The image containing noise can be decomposed into a series of detail information and trend information. The principal component analysis method determined the filter layer combined with the characteristics of noise concentrated in the high level,then the image reconstruction preserved the details of the results. This method has better performance than the traditional method by the experiment result.
出处
《信息技术》
2017年第8期83-85,共3页
Information Technology
基金
中央高校基本科研业务费资助(3142015144)
关键词
图像去噪
二维经验模态分解
滤波
image de-noising
bi-dimensional empirical mode decomposition
filtering
