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有利图像压缩的小波去噪算法
引用本文:楚恒,刘华林,朱维乐.有利图像压缩的小波去噪算法[J].电子测量与仪器学报,2008,22(3).
作者姓名:楚恒  刘华林  朱维乐
作者单位:电子科技大学电子工程学院,成都,610054
基金项目:国家自然科学基金,教育部跨世纪优秀人才培养计划
摘    要:提出了一种有利于图像压缩的小波图像去噪方法及一种小波系数校验方法.首先利用多个阈值在小波域进行硬阈值迭代去噪,然后利用小波子带的方向性对小波系数进行校验,并将保留的非零小波系数乘以一个比例系数,最后利用小波逆变换获得去噪图像.实验结果表明该方法的去噪效果优于常用方法,接近甚至超过BayesShrink方法.该方法可在有效去除图像噪声与保留较少的非零小波系数之间得到较好的折衷.

关 键 词:图像处理  图像去噪  图像压缩  小波变换

Wavelet Denoising Algorithm Suitable for Image Compression
Chu Heng,Liu Hualin,Zhu Weile.Wavelet Denoising Algorithm Suitable for Image Compression[J].Journal of Electronic Measurement and Instrument,2008,22(3).
Authors:Chu Heng  Liu Hualin  Zhu Weile
Affiliation:Chu Heng Liu Hualin Zhu Weile(School of Electronic Engineering,University of Electronic Science , Technology of China,Chengdu 610054,China)
Abstract:An image denoising algorithm suitable for image compression and a wavelet coefficient verification method are proposed.At first,several thresholds are utilized to denoise image iteratively in the wavelet domain.Then retained nonzero wavelet coefficients are verified based on orientations of different wavelet subbands.And each nonzero wavelet coefficient is multiplied by a ratio coefficient.Finally inverse wavelet transform is performed to obtain the denoised image.Experimental results show that this algorit...
Keywords:image processing  image denoising  image compression  wavelet transform    
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