一种基于双Haar小波的图像去噪算法

山东大学学报(工学版)

一种基于双Haar小波的图像去噪算法

贺长伟，王欣

山东大学信息科学与工程学院，山东济南250100

收稿日期:2006-12-08 修回日期:1900-01-01 出版日期:2007-08-24 发布日期:2007-08-24
通讯作者: 贺长伟

Image denoising based on the double-Haar wavelet

HE Chang-wei,WANG Xin

College of Information Science and Engineering,Shandong University,Jinan 250100,China

Received:2006-12-08 Revised:1900-01-01 Online:2007-08-24 Published:2007-08-24
Contact: HE Chang-wei

摘要/Abstract

摘要： 在小波域实现信号噪声的滤除是近年来图像处理领域中的研究热点，尤其是三通道双Haar小波的提出，使噪声抑制更加有效. 基于双Haar小波变换，并根据Lee滤波的局部统计特性，考虑到小波变换的高频部分涵盖大量的图像边缘等细节信息，因此在滤波窗口选择上提出了具有方向性的新算法，实现了在小波域中平滑噪声的同时还可以保护图像边缘细节不受损失. 实验表明新窗口的模型与Donoho的软门限方法相比较，可以给出更好的去噪效果.

关键词: 双Haar小波, Lee滤波, 图像去噪

Abstract: To realize image denoising in the wavelet domain is a lively research field in signal processing .The double Haar wavelet proposed recently can make image denoising more efficient. Based on the double Haar wavelet transformation, an improved method is proposed to realize the noise smoothing and the details protection in review of the partial statistic features of the Lee filter and high frequency containing many edges and details of the image . Experimental results show that the proposed algorithm can produce better denoising results than the soft thresholding proposed by Donoho.

Key words: double Haar wavelet, Lee filter, image denoising

中图分类号:

TN911.73

贺长伟,王欣 . 一种基于双Haar小波的图像去噪算法[J]. 山东大学学报(工学版), 2007, 37(4): 77-80 .

HE Chang-wei,WANG Xin . Image denoising based on the double-Haar wavelet[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 77-80 .

参考文献

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed

[1]	刘成云陈振学常发亮. 基于平稳小波的自适应阈值MR图像去噪法[J]. 山东大学学报(工学版), 2009, 39(5): 58-61.
[2]	牛新生,叶华,王亮 . 一种基于双Haar小波的图像去噪算法[J]. 山东大学学报(工学版), 2007, 37(4): 0-0 .