基于二进小波变换的图像去噪技术研究  

Image denoising based on the dyadic wavelet transform

作　　者：费佩燕[1] 郭宝龙[1] 章正宇[2] 

机构地区：[1]西安电子科技大学机电工程学院,陕西西安710071 [2]华北光电技术研究所,北京100015

出　　处：《西安电子科技大学学报》2003年第4期492-496,共5页Journal of Xidian University

基　　金：国家自然科学基金资助项目(69975015);国家部委预研基金资助项目(2 3 2 1)

摘　　要：由于图像二进小波变换在每次分解时不进行下抽样,所以其表示同小波级数相比是冗余的,且图像二进小波变换的部分系数扰动不会带来重构图像的严重失真.因此,在相同的误判概率下,基于二进小波变换的图像去噪效果会好于基于小波级数变换的图像去噪效果.基于这个思想,文中将基于小波级数的图像去噪方法推广到基于二进小波变换的图像去噪,提出了二进小波的去噪方法,比较了该方法和基于小波级数方法的去噪效果.实验表明,二进小波的去噪比小波级数去噪效果有明显改善.Since downsampling does not take place in image dyadic wavelet transform at each level, image representation in dyadic wavelet domain compared with wavelet series reconstruction is very redundant and part of disturbance of image dyadic wavelet coefficients in transform domain will not lead to serious distortion. Therefore, with the same error decision probability, the better reconstruction can be expected. Based on this idea, this paper extends the existing wavelet-based image denoising approaches to the dyadic wavelet-based image denoising (DWID), Numerical experiments show that DWID can significantly improve the Power Signal-to-Noise Ratio.

关 键 词：图像去噪 二进小波变换 小波级数 门限估计 小波系数域 

分 类 号：TN911.73[电子电信—通信与信息系统]