查询结果:   章明珠,郑敏,廖开阳.基于HAAR小波域边缘方向特征的SAR图像去噪[J].计算机应用与软件,2017,34(1):187 - 190.
中文标题
基于HAAR小波域边缘方向特征的SAR图像去噪
发表栏目
图像处理与应用
摘要点击数
603
英文标题
SAR IMAGE DE-NOISING METHOD BASED ON EDGE DIRECTION FEATURES OF HAAR WAVELET DOMAIN
作 者
章明珠 郑敏 廖开阳 Zhang Mingzhu Zheng Min Liao Kaiyang
作者单位
西安翻译学院基础课部 陕西 西安 710105 武警工程大学信息工程系 陕西 西安 710078 西安理工大学印刷与包装数字媒体学院 陕西 西安 710048   
英文单位
Department of Basic Courses,Xi’an Fanyi University,Xi’an 710105,Shaanxi,China Department of Information Engineering,Engineering University of CAPF,Xi’an 710078,Shaanxi,China Faculty of Printing,Packaging Engineering and Digital Media Technology,Xi’an University of Technology,Xi’an 710048,Shaanxi,China   
关键词
合成孔径雷达 斑点噪声 小波 边缘方向性
Keywords
Synthetic aperture radar Speckle noise Wavelet Edge directionality
基金项目
国家自然科学基金项目(11272253)
作者资料
章明珠,讲师,主研领域:图像处理。郑敏,讲师。廖开阳,讲师。 。
文章摘要
提出一种新的基于小波变换的SAR(Synthetic Aperture Radar)相干斑去噪方法。利用二级小波分解得到的小波系数子带HL、LH和HH,判断对应点边缘方向性的强弱,并通过设定值确定该点是否位于边缘,在最大限度保护图像边缘信息和纹理信息不被破坏的同时,有效去除了图像噪声, 并且计算简单、高效。通过仿真实验,从平滑指数和边缘保持指数这两个评价指标来看,所提出方法的实验结果比现有的其他方法更好一些。
Abstract
A new method of synthetic aperture radar (SAR) image speckle noise reduction based on wavelet transform is proposed by using the two-level wavelet decomposition to obtain the sub-band wavelet coefficients HL, LH and HH, which can be used to determine the strength of the corresponding edge direction. By setting the threshold,it is able to determine whether a point is located on the edge or not. The proposed method effectively suppresses speckle noise, while better preserving the edge and texture information of the SAR image. It has the advantages of simple calculation and high efficiency. Through the simulation experiment, it can be seen from the smoothing index and edge keeping index that the proposed method presents better experimental results than other existing methods.
下载PDF全文