首页 | 官方网站   微博 | 高级检索  
     

一种基于小波包分解的图像分类去噪方法
引用本文:刁洪祥,蒋加伏,唐贤瑛. 一种基于小波包分解的图像分类去噪方法[J]. 计算机工程与应用, 2003, 39(20): 74-76
作者姓名:刁洪祥  蒋加伏  唐贤瑛
作者单位:长沙交通学院计算机工程系,长沙,410076
基金项目:湖南省自然科学基金资助(编号:00JJY2059)
摘    要:文章提出了一种基于小波包分解的图像分类去噪方法,即首先用高斯-拉普拉斯边缘检测方法检测出图像的边缘,得到边缘图像;然后利用小波包对图像平滑区域进行阀值去噪,同时对图像进行邻域平滑处理;最后将边缘图像嵌入平滑图像。此种方法不但可以保持图像的边缘信息,而且能够去除图像的噪声,提高了图像的去噪效果和清晰度。

关 键 词:小波包分解  边缘检测  图像去噪
文章编号:1002-8331-(2003)20-0074-03
修稿时间:2003-04-01

Classified Image Denoising Method Based on the Wavelet Package
Diao Hongxiang Jiang Jiafu Tang Xianying. Classified Image Denoising Method Based on the Wavelet Package[J]. Computer Engineering and Applications, 2003, 39(20): 74-76
Authors:Diao Hongxiang Jiang Jiafu Tang Xianying
Abstract:In this paper,classified image denoising method based on the wavelet package is presented.At first,it detects the edge of image with Laplace of Gauss method of edge detection,and gets the edge image.Then it carries on thresh-old denoising on smoothing region with wavelet package,and carries on the level and smooth handle of neighborhood to the image at the same time ,finally,embed into the smoothing image with edge image.The method can not only keep the edge information of image,but also can denoise and improve the denoising effect and distinct of image.
Keywords:Decomposition of wavelet package  Edge detection  Image denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号