电光与控制, 2019, 26 (2): 23, 网络出版: 2021-01-13   

一种消除椒盐噪声的迭代自适应中值滤波算法

An Iterative Adaptive Median Filtering Algorithm for Salt and Pepper Noise Removal
王拓 1,2王洪雁 1,2裴炳南 1,2
作者单位
1 大连大学, 辽宁省北斗高精度位置服务技术工程实验室, 辽宁 大连 116622
2 大连市环境感知与智能控制重点实验室, 辽宁 大连 116622
摘要
针对传统中值滤波算法对高密度椒盐噪声图像滤波效果差的问题, 基于循环迭代处理思想, 提出一种消除椒盐噪声的迭代自适应中值滤波算法。在传统基于决策滤波方法基础上, 所提算法自适应调整滤波窗口尺寸并计算滤波窗口内非椒盐像素中值以替换噪声像素, 进而根据噪声密度自适应决定算法迭代次数,以完全消除椒盐噪声并恢复原始图像。仿真结果表明, 对噪声密度为10%~99%的图像, 与标准中值滤波及其4种改进算法相比, 所提算法能较快消除椒盐噪声且可较好恢复原始图像细节。
Abstract
The traditional median filtering algorithm has poor filtering effect on the images with high-density salt and pepper noise. Based on the theory of cyclic iterative processing, an iterative adaptive median filtering algorithm is proposed to remove the salt and pepper noise. Following the traditional filtering approach based on decision-making, the proposed algorithm adaptively adjusts the size of the filtering window and calculates the median of the non-salt and pepper pixels in the filtering window to replace the corrupted pixels.After that, the proposed algorithm adaptively determines the iteration number according to the noise density, so as to completely remove the salt and pepper noise and retrieve the original image.Simulation results demonstrate that, compared with the standard median filtering algorithm and four other improved algorithms, the proposed algorithm can remove the salt and pepper noise with less running time and can efficiently retrieve the details of the original image for the images with the noise density varying from 10% to 99%.

王拓, 王洪雁, 裴炳南. 一种消除椒盐噪声的迭代自适应中值滤波算法[J]. 电光与控制, 2019, 26(2): 23. WANG Tuo, WANG Hongyan, PEI Binnan. An Iterative Adaptive Median Filtering Algorithm for Salt and Pepper Noise Removal[J]. Electronics Optics & Control, 2019, 26(2): 23.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!