[1]林德贵,曾健民.基于数学形态学的提升小波图像去噪[J].计算机技术与发展,2013,(05):83-85.
　LIN De-gui,ZENG Jian-min.Lifting Wavelet Image De-noising Based on Mathematical Morphology[J].,2013,(05):83-85.
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基于数学形态学的提升小波图像去噪()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年05期
页码:
83-85
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Lifting Wavelet Image De-noising Based on Mathematical Morphology
文章编号:
1673-629X（2013）05-0083-03
作者:
林德贵; 曾健民
闽南理工学院 信息管理系
Author(s):
LIN De-gui; ZENG Jian-min
关键词:
数学形态学; 提升小波; 图像去噪
Keywords:
mathematical morphology; lifting wavelet; image de-noising
文献标志码:
A
摘要:
图像去噪是图像研究非常重要的一环,其去噪效果的好坏直接影响后面的图像分析.提升小波变换去噪在较好地去噪的同时能很好地保持图像的边缘,但去噪的图像平滑度不是很高;形态学滤波能得到很好的平滑度,但同时更大地模糊了去噪图像.为了更好地消除图像的噪声,得到更好的图像质量,结合提升小波与数学形态学在图像去噪中的优缺点,提出了一种基于数学形态学的提升小波图像去噪算法.实验数据及结果表明,该算法优于单独的去噪效果;因此,该算法能有效地改善图像质量,同时也提高了峰值信噪比,使图像更加清晰
Abstract:
Image denoising is very important part of image researching,it’s effect influences behind the image analysis directly. Lifting wavelet transform denoising can be better denoising,at the same time,can well keep the edge of the image,but the image denoising smoothing degree is not very ideal;mathematical morphology filtering can get very good smoothness,but at the same time more greatly increase the fuzzy of image denoising. In order to denoise and get better image quality,combined with lifting wavelet and mathematical morphology in image denoising of advantages,a lifting wavelet image denoising method based on mathematical morphology was presen-ted. Experimental data and results show that the algorithm is better than the denoising effect respectively;therefore,the algorithm could not only effectively improve the image quality,but also improve the peak value signal-to-noise ratio,and make the image clearer

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更新日期/Last Update: 1900-01-01