一种基于小波变换去除遥感图像噪声的方法

侯波; 迟耀斌; 朱重光; 赵忠明

doi:10.11834/jrs.20030507

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专辑

一种基于小波变换去除遥感图像噪声的方法
Remote Sensing Image Denoising in the Wavelet Domain
2003年第5期页码：379-385
纸质出版：2003
DOI： 10.11834/jrs.20030507
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[1]侯波,迟耀斌,朱重光,赵忠明.一种基于小波变换去除遥感图像噪声的方法[J].遥感学报,2003(05):379-385. DOI： 10.11834/jrs.20030507.

HOU Bo 1 2, CHI Yao-bin 1, ZHU Chong-guang2, et al. Remote Sensing Image Denoising in the Wavelet Domain[J]. Journal of Remote Sensing, 2003, (5): 379-385. DOI： 10.11834/jrs.20030507.

摘要

采用小波系数极大值跟踪法去除图像噪声

建立了尺度间小波系数极大值跟踪矩阵

标识出小波系数极大值的信噪属性

剔除了噪声部分对应小波系数极大值

从而抑制了噪声污染。与常规去噪方法相比

该方法不仅有效地去除了噪声

同时保持了图像边沿细节

具有良好的消除噪声效果。

Abstract

In this paper

we propose a new denoising method

which distinguishes the coefficients’ extremums belonging either or to image to noise by the tracking matrixes of the extremums in wavelet domain. The coefficients’ extremums that belong to image have transmission property from coarse to fine scale

but the coefficients’ extremums that belong to noise do not have. We evaluate the tracking marixes of the extremums different number base on the transmission property of each extremums from coarse to fine scale. The tracking matrixes of the extremums express the different transmission property. By the tracking matrixes of the extremums

we differentiate the wavelet coefficients’ extremums and then remove the coefficients’ extremums belonging to noise. Experimental results show that the denoising proposed in this paper is effective both in reserving the edge and in removing noise.