Comparison of Non-Bayesian Wavelet Filtering Method and Research of Threshold Value Filtering Algorithm

Abstract

小波的出现在数学界引起了广泛的关注,其理论与应用得到了空前的发展,已成为信号、图像处理领域一个主要的研究方向。作为小波理论与应用的重要分支,十几年来,小波滤波的理论及应用也得到了很大的发展,标志着一种新的信号滤波方法的出现。 小波滤波的机理是基于信号与噪声的小波系数的尺度上的不同性质,采用相应规则,对含噪信号的小波系数进行取舍、抽取或切削等非线性处理,以达到去除噪声的目的。小波滤波研究主要集中在三个方向,包括基于信号奇异性的模极大值重构滤波、基于信号尺度间相关性的空域相关滤波和基于小波变换解相关性的小波域阈值滤波,并且在医学图像和SAR图像滤波、压缩等领域得到了较为成功的应用。 小波域阈值...The appearance of wavelet has aroused the widespread interest in the field of mathematics, its theory and application obtained the unprecedented development, and it has become a main research direction of the signal and image processing. The wavelet theory and application as an important branch, the wavelet filter's theory and application also obtained the prodigious development for several years,...学位:工学硕士院系专业:信息科学与技术学院自动化系_控制理论与控制工程学号:2322006115252

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