摘要
对Mallat算法强制去噪、小波变换模极大值去噪、非线性小波变换阈值法去噪及基于小波域相关性的去噪法的原理进行了阐述,并比较了这几种小波去噪方法的优缺点,给出了两种改进方法,仿真结果表明有效可行.
Wavele image denoising has been well acknowledged as an important method for denoising in Image Processing. The principles of several wavelet denoising methods including the Mallat forced denoising, the wavelet transform modulus maximum method, the nonlinear wavelet threshold denoising method and the denoising based on the interrelation of wavelet domain are described, and this paper compares these methods, and gives two improved methods. The results show that they are practicable and effective for image denoising.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2004年第4期626-629,共4页
Journal of Xidian University
基金
国家部委预研资助项目(51487020203DZ0103)
关键词
图像去噪
模极大值
阈值
样条
小波域
image denoising
modulus maximum
threshold
spline
wavelet domain
