摘要
本文提出了一种新颖的干涉条纹图非线性滤波方法，可以选择性地在频域图像的不同区域选用不同的滤波方式，在滤掉图像中大部分散斑噪声的同时，能够减少信息的损失，使图像的内部边界仍然保持清晰。文中首先简介了正交小波变换的原理，然后介绍了去除散斑噪声的具体算法。
A new image processing method, which is based on the technique of wavelet analysis, is presented. When applied to the processing of speckles fringe pattern, where the speckle noise is to be removed from the fringe pattern, the method is more effective in reducing the loss of information owing to that it allows different filtering methods used for the different areas of the fringe pattern. As a result, the method can give a clearer board for the fringe pattern. In this paper, the principle of wavelet transform is briefly introduced, then a practical algorithm for removing the speckle noise from the fringe pattern is given. As the last part, a computer simulation result by using this method is shown.
出处
《实验力学》
CSCD
北大核心
1999年第3期354-358,共5页
Journal of Experimental Mechanics
关键词
小波分析
非线性滤波
图像处理
去噪声
wavelet analysis, non linear filtering, image processing, noise eliminating
