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基于一维模型的椒盐噪声去除方法
引用本文:曹荣,倪林,苗原.基于一维模型的椒盐噪声去除方法[J].数据采集与处理,2007,22(2):172-177.
作者姓名:曹荣  倪林  苗原
作者单位:1. 中国科学技术大学电子工程与信息科学系,合肥,230026
2. 维多利亚大学计算机科学与数学学院,澳大利亚墨尔本,999029-3001
摘    要:提出了一种基于一维信号处理去除图像椒盐脉冲噪声的方法,该算法给出了4种二维信号转换为一维信号的模型,用线性处理代替块处理去除图像椒盐脉冲噪声。经过实验仿真并与其他滤波算法比较表明,该算法可以有效地去除图像中的椒盐脉冲噪声,尤其是在计算复杂度上表现了很好的性能,同时也降低了图像边界点处理的边界效应。

关 键 词:图像处理  一维模型  椒盐噪声  去除噪声
文章编号:1004-9037(2007)02-0172-06
收稿时间:2006-01-09
修稿时间:2006-01-092006-04-10

Approach for Removing Salt-and-Pepper Noise Based on 1-D Model
Cao Rong,Ni Lin,M. Yuan.Approach for Removing Salt-and-Pepper Noise Based on 1-D Model[J].Journal of Data Acquisition & Processing,2007,22(2):172-177.
Authors:Cao Rong  Ni Lin  M Yuan
Affiliation:Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230026, China; School of Computer Science and Mathematics, Victoria University, Melbourne, Australia, 000020-3001
Abstract:A new approach for removing salt-and-pepper noise of the 2-D image is presented based on 1-D signal processing. Four 1-D models for transforming 2-D image signals into 1-D image signals by linear processing instead of block processing is introduced. Simulation results demonstrate that the algorithm is superior to other existing filtering algorithms, especially dramatic advantages in computational complexity. Meanwhile, the unclear effects are improved when dealing with the image edge by the method.
Keywords:image processing  1-D model  salt-and-pepper noise  removing noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
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