摘要
为了有效抑制海浪图像中的干扰噪声,提出了一种基于小波变换的海浪图像噪声抑制算法。首先,利用小波变换检测出图像边缘获取噪声点的潜在位置;其次,根据海浪图像的直方图分布特性确定阈值,利用该阈值对海面回波信号和噪声进行分离;最后,根据海面回波信号具有形似性的特点,利用噪声邻域内的信号点对已检测出的噪声点进行属性值插值,从而达到滤除噪声的目的。为验证该算法的效果,将本算法与小波域的硬阈值和软阈值去噪算法进行了比较,对比结果显示,算法在海浪图像噪声抑制应用中优于传统算法,可以得到较好的海面回波信号,并且能够满足下一步的海浪分析要求。
In order to inhibit the image noises effectively,a novel algorithm for noise suppression is proposed based on the wavelet transform in this paper. Firstly,the image edges are detected by the wavelet transform and the potential positions of noises are determined. Secondly, according to the histogram distribution of wave image,a thresh- old value is determined, sea echo signal points are eliminated and the noise points are obtained. Finally,according to the similar property values of sea echo, the property values of determined noise points are substituted with the adjacent signal points and the noise are filtered. Experiments on the wave images indicate that the noise suppression effect for the proposed algorithm perform better than the traditional wavelet domain hard threshold and soft thresh- old method. So we can obtain the sea echo signal more correctly and more precisely by using the proposed algorithm and the filtered sea echo signal can satisfy for wave analysis.
出处
《遥感技术与应用》
CSCD
北大核心
2009年第3期370-373,共4页
Remote Sensing Technology and Application
关键词
图像处理
航海雷达
噪声抑制
小波变换
直方图
Image processing
Marine radar
Noise suppression
Wavelet transform
Histogram
