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基于第二代小波变换的图像除噪
引用本文:董楠,蒋本和,徐福泽.基于第二代小波变换的图像除噪[J].烟台大学学报(自然科学与工程版),2007,20(1):40-43.
作者姓名:董楠  蒋本和  徐福泽
作者单位:烟台大学,光电信息科学技术学院,山东,烟台,264005
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.

关 键 词:小波变换  提升方法  图像除噪
文章编号:1004-8820(2007)01-0040-04
收稿时间:2006-03-24
修稿时间:2006-03-24

Application of Lifting Wavelet Transform in Image Denoising
DONG Nan,JIANG Ben-he,XU Fu-ze.Application of Lifting Wavelet Transform in Image Denoising[J].Journal of Yantai University(Natural Science and Engineering edirion),2007,20(1):40-43.
Authors:DONG Nan  JIANG Ben-he  XU Fu-ze
Institution:Institute of Science and Technology for Opto-Electronics Information, Yantai University, Yantai 264005, China
Abstract: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 gaussian-noise is effectively suppressed and the signal to noise ratio improves remarkably.The lifting wavelet transform is an efficient algorithm.
Keywords:wavelet transform  lifting scheme  image denosing
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