[1]陈华玲,冯桂.数字图像的混合噪声去除[J].华侨大学学报(自然科学版),2011,32(2):150-152.[doi:10.11830/ISSN.1000-5013.2011.02.0150]
　CHEN Hua-ling,FENG Gui.A Method of Mixed Noise Removal in Digital Image[J].Journal of Huaqiao University(Natural Science),2011,32(2):150-152.[doi:10.11830/ISSN.1000-5013.2011.02.0150]
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数字图像的混合噪声去除()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第32卷
期数:
2011年第2期
页码:
150-152
栏目:
出版日期:
2011-03-20

文章信息/Info

Title:
A Method of Mixed Noise Removal in Digital Image
文章编号:
1000-5013(2011)02-0150-03
作者:
陈华玲; 冯桂
华侨大学信息科学与工程学院
Author(s):
CHEN Hua-ling;  FENG Gui
College of Information Science and Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
高斯噪声;  椒盐噪声;  混合噪声滤波算法;  图像细节
Keywords:
Gaussian noise;  salt-pepper noise;  mixture noise filter method;  image details
分类号:
TP391.41
DOI:
10.11830/ISSN.1000-5013.2011.02.0150
文献标志码:
A
摘要:
针对混有高斯噪声和椒盐噪声的数字图像去噪,提出一种混合噪声滤波算法.首先判断滤波窗中心像素是否是噪声点,如果是噪声点,则取窗口内与其他像素灰度差值绝对值和最小的那个像素值作为噪声点的灰度值; 否则,不改变当前像素值.通过实验分析比较,该算法能够在去除噪声的同时更大限度地保留图像的细节信息,并且由于算法在时域内进行,其运算量少,易于实现.
Abstract:
In this paper,a mixture noise filter method is proposed for images corrupted by Gaussian noise and salt-pepper noise.Firstly,if the current pixel is corrupted by noises,replace it with the value of the pixel that has a minimal absolute value in a specifical window; if not,retain it.The experimental results show that the proposed method can effectively preserve the image details and reduce image blurring while removing mixed noise.Thanks to time-domain algorithm,the method is easy to implement and has a less computing.

参考文献/References:

[1] 金良海, 熊才权, 李德华. 自适应型中心加权的中值滤波器 [J]. 华中科技大学学报(自然科学版), 2008(8):9-12.doi:10.3321/j.issn:1671-4512.2008.08.003.
[2] WINDYGA P S. Fast impulsive noise removal [J]. IEEE Transactions on Image Processing, 2001(1):173-179.doi:10.1109/83.892455.
[3] KAORU ARAKAWA. Median filter based on fuzzy rules and its application to image restoration [J]. Fuzzy Sets and Systems, 1996(1):3-13.
[4] 周刚, 贾振红, 覃锡忠. 一种新的图像去噪混合滤波方法 [J]. 激光杂志, 2007(1):57-59.doi:10.3969/j.issn.0253-2743.2007.01.025.
[5] 孟君. 数字图像复原算法研究 [D]. 贵阳:贵州大学, 2006.16-18.
[6] 张政, 张宇, 马樟萼. 基于均值滤波的快速自适应滤波器 [J]. 中国图象图形学报, 2000(6):533.doi:10.3969/j.issn.1006-8961.2000.06.018.

备注/Memo

备注/Memo:
福建省自然科学基金资助项目(2006J0037); 华侨大学科研基金资助项目(07HZR28)
更新日期/Last Update: 2014-03-23