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基于方向小波的差值滤波图像去噪算法
引用本文:王贞俭,曲长文,沙秀艳.基于方向小波的差值滤波图像去噪算法[J].系统仿真学报,2007,19(9):2127-2129,2137.
作者姓名:王贞俭  曲长文  沙秀艳
作者单位:1. 鲁东大学,山东,烟台,264025;海军航空工程学院,山东,烟台,264001
2. 海军航空工程学院,山东,烟台,264001
摘    要:针对利用方向小波的多方向框架分割图像时形成的像素序列长度的不同,提出一种新的基于方向小波的差值滤波图像去噪算法.该算法根据白噪声分布规则,将像素序列分成两组,分别采用不同的阈值萎缩方法,并将所产生的方向子图像进一步的作差值滤波处理,最后对所有子图像进行线性平均.对含不同程度高斯白噪声的图像去噪仿真实验表明,与其他小波阈值去噪方法相比,该算法能更有效的去除噪声和保持图像纹理细节,信噪比提高1~3dB.

关 键 词:图像去噪  方向小波  多方向框架  多方向小波基  差值滤波
文章编号:1004-731X(2007)09-2127-03
收稿时间:2006-03-31
修稿时间:2006-03-312006-11-09

Algorithm of Differential Filtering for Image Denoising Based on Directionalet
WANG Zhen-jian,QU Chang-wen,SHA Xiu-yan.Algorithm of Differential Filtering for Image Denoising Based on Directionalet[J].Journal of System Simulation,2007,19(9):2127-2129,2137.
Authors:WANG Zhen-jian  QU Chang-wen  SHA Xiu-yan
Institution:1 .Ludong University, Yantai 264025, China; 2. Naval Aeronautical Engineering Institute, Yantai 264001, China
Abstract:Image was partitioned into different length pixel sequences by using multi-directional frames. An algorithm based on directionalet and differential filtering for image denoising was proposed. According to Gaussian noise statistical distribution, the pixel sequences were divided into two groups and dealt with different threshoM method respectively. And then, the differential filter was used for all sub-images produced by directionalet and all filtered sub-images were averaged. Experimental results show that the proposed method performs better than other methods, visually and quantitatively.
Keywords:image denoising  directionalet  multi-directional frames  multi-directional bases  differential filtering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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