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基于自适应边缘检测的小波包图像去噪
引用本文:韩丽萍,药春晖,尹王保. 基于自适应边缘检测的小波包图像去噪[J]. 计算机工程与设计, 2006, 27(2): 220-221
作者姓名:韩丽萍  药春晖  尹王保
作者单位:山西大学,物理电子工程学院,山西,太原,030006
基金项目:山西省自然科学基金;山西大学校科研和教改项目
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渡包图像去噪方法,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闽值而不必担心损害图像的边缘特征。实验结果表明,谊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。

关 键 词:自适应滤波  边缘检测  小波包  图像去噪
文章编号:1000-7024(2006)02-0220-02
收稿时间:2005-03-16
修稿时间:2005-03-16

Wavelet package image de-noising based on adaptive edge detection
HAN Li-ping,YAO Chun-hui,YIN Wang-bao. Wavelet package image de-noising based on adaptive edge detection[J]. Computer Engineering and Design, 2006, 27(2): 220-221
Authors:HAN Li-ping  YAO Chun-hui  YIN Wang-bao
Affiliation:College of Physical Electronics Engineering, Shanxi University, Taiyuan 030006, China
Abstract:In order to preserve image details as well as canceling image noise,a wavelet package image de-noising method based on ad-aptive edge detection was presented.Edges of an image were detected with method of adaptive filter sales for edge detection 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.
Keywords:adaptive filter   edge detection   wavelet package   image de-noising
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