论文详情
基于小波变换与多级中值滤波的联合去噪方法
石油物探
2009年 48卷 第No. 5期
阅读：78
查看详情
Title
Joint denoising method based on wavelet transform and multi-level median filtering
单位
中国石油大学(华东)地球资源与信息学院，山东东营257061
Organization
College of Geo-Resources and Information,China University of Petroleum (East China),Dongying 257061,China
摘要
基于小波变换的阈值去噪方法存在阈值选取困难、低信噪比资料去噪后倾斜和弯曲同相轴连续性不好等问题。图像去噪方法中的多级中值滤波具有保护细节的特性，提出了基于多级中值滤波的小波域去噪算法。该方法利用最大和最小中值之差判断平坦区域和边缘区域，提高了小波域中去除噪声的能力，同时有效地保护了信号细节。模型数据与实际数据处理结果表明，该方法比阈值去噪方法分离信、噪的能力更强。
Abstract
There are several problems exist in the threshold denoising method based on wavelet transform,such as the difficulty of threshold selection,the inconsistence of the dip and curved events in the low S/N seismic data after denoising.Among imaging denoising methods,multi-level median filtering can preserve the characteristics of the details.So,we proposed denoising algorithm in wavelet transform domain based on multi-level median filtering.This method differentiates the flat region from edge region by the difference between the maximum mid-value and the minimum mid-value,which enhanced the ability of denoising in wavelet transform domain and effectively protect the details. Model data and real data processing results reveal that this method has stronger ability for separating signal and noise than that of the threshold denoising method.
关键词：
小波变换;
阈值;
多级中值滤波;
去噪;
随机噪声;
Keywords:
wavelet transform;
threshold;
multi-level median filtering;
denoising;
random noise;
论文详情