摘要
为了在滤除图像噪声的同时能很好地保持图像的细节,提出了一种基于自适应边缘检测的小波包图像去噪方法,先用自适应滤波多尺度边缘检测方法检测出图像的边缘,小波包去噪时就可选用全局阈值而不必担心损害图像的边缘特征。实验结果表明,该方法不但可以保持图像的边缘信息,而且能够提高去噪后图像的信噪比。
In order to preserve image details as well as canceling image noise, a wavelet package image de-noising method based on adaptive edge detection was presented. Edges of an image were detected with method of adaptive filter sales for edgedetection firstly, and then a global threshold was used in wavelet package de-noising without damaging image＇s edges. Experimental results showed that the algorithm could not only keep edge information of image, but also could improve signal-to-noise ratio of an image.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第2期220-221,共2页
Computer Engineering and Design
基金
山西省自然科学基金项目(6037804)
山西大学青年科技基金项目(050018)
关键词
自适应滤波
边缘检测
小波包
图像去噪
adaptive filter
edge detection
wavelet package
image de-noising
