[1]段汉根 汪继文.一种基于偏导数的滤波算法[J].计算机技术与发展,2007,(06):64-66.
 DUAN Han-gen,WANG Ji-wen.A New Filtering Algorithm Based on Partial Derivatives[J].,2007,(06):64-66.
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一种基于偏导数的滤波算法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年06期
页码:
64-66
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A New Filtering Algorithm Based on Partial Derivatives
文章编号:
1673-629X(2007)06-0064-03
作者:
段汉根12 汪继文1
[1]安徽大学计算机科学与技术学院[2]安徽科技学院理学院
Author(s):
DUAN Han-gen WANG Ji-wen
[1]School of Computer Science & Technology, Anhui University[2]College of Sciences,Anhui Science and Technology University
关键词:
图像处理中值滤波脉冲噪声偏导数
Keywords:
image processing median filter impulse noise partial derivatives
分类号:
TN911.73
文献标志码:
A
摘要:
提出了一种新的图像噪声消除算法。该方法可以快速有效地去除图像中的脉冲噪声,并保留图像的细节。该算法主要利用像素点的偏导数信息把所有的像素点分为有效的信号点和噪声点,判定的标准为:任意像素点的值如果在其邻域为最大或最小值,则认为该点是噪声点,否则就是有效点。实验结果表明,本算法去除噪声与保留细节的效果好,且运算速度较快
Abstract:
Introduce a novel image denoising algorithm, the efficient signals are reserved when the noises are removed through the algorithm. The filters are based on local partial derivatives. First, all the pixels are separated into signal pixels and noise pixels according to the decision criterion given in the following; then, noise pixels are replaced with the related value of their neighborhood in the input image. The decision criterion : if a pixel value is the extremum (max or rain) of its neighborhood, it is a noise pixel;else, it is a signal pixel. If a pixel value is higher or lower than the others' value of its neighborhood are,may consider that it had been contaminated with noise. Else,consider that it represents an effective signal. Experimental results show that the assumption fits the facts quit well

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备注/Memo

备注/Memo:
安徽省高校自然科学研究项目(2006KJ028B);安徽省高校自然科学研究项目(KJ2007B366ZC)段汉根(1971-),男,安徽太湖人,讲师,研究方向为图像处理; 汪继文,博士,教授,研究方向为数值计算、计算流体力学
更新日期/Last Update: 1900-01-01