改进的基于非高斯双参数模型的图像滤波算法  

An Improved Image Filtering Algorithm Based on Non-Gaussian Bivariate Models

作　　者：武海洋 张亚宁 万紫千 

机构地区：[1]61243部队 [2]61287部队

出　　处：《海洋测绘》2015年第1期38-40,共3页Hydrographic Surveying and Charting

基　　金：国家自然科学基金(60778051)

摘　　要：以描述小波系数分布规律的非高斯双参数模型为基础,介绍和分析了BiShrink滤波算法,指出了其存在的不足。提出的改进算法采用冗余小波变换替代正交小波变换,将子带内小波系数的局部相关性纳入滤波过程,给出了局部自适应的阈值估计策略,再通过双参数联合收缩函数达到系数收缩的目的。实验结果表明,改进算法同时兼顾了子带内小波系数之间的相关性和尺度间系数的传播特性,在有效滤除噪声的同时,较好地保持了图像的细节信息。The paper presented an analysis of the BiShrink filtering algorithm based on the Non-Gaussian Bivariate M odels,and pointed out its disadvantages. It proposed an improved method,which adopted Redundant Wavelet transform instead of Orthogonal Wavelet transform,and brought the relativity among wavelet coefficients in the sub-band into the filtering procedure,then calculated the local self-adaption threshold based on a neighboring window,and finally acquired the estimated coefficient by the associated shrinkage function. The experimental results show ed that the new method gave consideration to the relativity among the wavelet coefficients and the transform characteristics of the inter-scale coefficients,which filtered the noise effectively and preserved the detail information of imagery.

关 键 词：图像滤波 非高斯双参数模型 BiShrink算法 冗余小波变换 收缩函数 

分 类 号：P237[天文地球—摄影测量与遥感]