| 改进的基于非高斯双参数模型的图像滤波算法 |
| |
| 引用本文： | 武海洋,张亚宁,万紫千.改进的基于非高斯双参数模型的图像滤波算法[J].海洋测绘,2015,35(1):38-40. |
| |
| 作者姓名： | 武海洋 张亚宁 万紫千 |
| |
| 作者单位： | 1. 61243部队,新疆乌鲁木齐,830006
2. 61287部队,四川成都,610000 |
| |
| 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。
|
| 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 |
An Improved Image Filtering Algorithm Based on Non-Gaussian Bivariate Models |
| |
| WU Haiyang,ZHANG Yaning,WAN Ziqian.An Improved Image Filtering Algorithm Based on Non-Gaussian Bivariate Models[J].Hydrographic Surveying and Charting,2015,35(1):38-40. |
| |
| Authors: | WU Haiyang ZHANG Yaning WAN Ziqian |
| |
| Institution: | 61243 Troops,Urumqi 830006 ,China; 61287 Troops,Chengdu 610000 ,China |
| |
| Abstract: | The paper presented an analysis of the BiShrink filtering algorithm based on the Non-GaussianBivariate Models,and pointed out its disadvantages.It proposed an improved method,which adopted RedundantWavelet transform instead of Orthogonal Wavelet transform,and brought the relativity among waveletcoefficients in the sub-band into the filtering procedure,then calculated the local self-adaption threshold based ona neighboring window,and finally acquired the estimated coefficient by the associated shrinkage function.Theexperimental results showed that the new method gave consideration to the relativity among the waveletcoefficients and the transform characteristics of the inter-scale coefficients,which filtered the noise effectivelyand preserved the detail information of imagery. |
| |
| Keywords: | image filtering Non-Gaussian bivariate model BiShrink algorithm redundant wavelet transform shrinkage function |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《海洋测绘》浏览原始摘要信息 |
| 点击此处可从《海洋测绘》下载免费的PDF全文 |
|
