摘要
讨论了第二代小波变换的基本原理和变换过程,并将第二代小波变换引入到图像信号除噪处理中.提升方案采用的是Deslauriers-Dubuc(4,2)小波,分别对含噪的图像信号进行三级可逆提升变换,对每一级上的细节信号按软阈值法进行处理,削减小波系数中的噪声部分,从而实现了信号去噪.结果表明,去除高斯白噪声的效果令人满意,提升方法设计灵活、计算简单.
The principle and procedures of the second-generation wavelet transform are discussed, and applied to the denoising of noising image. Deslauriers-Dubuc （4, 2） wavelet transforms are used to process image data in lifting wavelet transform, Denoising is done in the high frequency sub-bands at each level by soft-threshold. The processing results show that ganssian-noise is effectively suppressed and the signal to noise ratio improves remarkably. The lifting wavelet transform is an effcient algorithm.
出处
《烟台大学学报（自然科学与工程版）》
CAS
2007年第1期40-43,共4页
Journal of Yantai University(Natural Science and Engineering Edition)
关键词
小波变换
提升方法
图像除噪
wavelet transform
lifting schemei image denosing
