EMD与小波分析结合的特征保持图像去噪方法

计算机科学 ›› 2013, Vol. 40 ›› Issue (10): 265-268.

EMD与小波分析结合的特征保持图像去噪方法

王卫红,程时伟,张素琼,秦绪佳

浙江工业大学计算机科学与技术学院杭州310032;浙江工业大学计算机科学与技术学院杭州310032;浙江工业大学计算机科学与技术学院杭州310032;浙江工业大学计算机科学与技术学院杭州310032

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金(61075118,6),北京航空航天大学软件开发环境国家重点实验室开放课题(SKLSDE-2012KF-05)资助

Feature-Preserving Image Denoising Method Combining EMD and Wavelet Analysis

WANG Wei-hong,CHENG Shi-wei,ZHANG Su-qiong and QIN Xu-jia

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 图像在获取和传输等过程中伴有各种噪声,而细节与边缘是表征图像信息的重要特征,提出一种经验模式分解(EMD)与小波阈值结合的图像特征保持去噪方法。该方法首先将图像进行EMD分解,分解出内蕴模式分量与剩余分量；然后将内蕴模式分量进行小波分解,采用小波阈值去噪进行滤波、去噪和细节特征保留；最后将小波去噪后的内蕴模式分量图像叠加到剩余分量中,得到最后的去噪图像。实验结果表明,该方法克服了单独使用EMD或小波阈值去噪的不足,在有效去噪的同时还保持了图像的边缘细节信息。

关键词: 图像去噪,经验模式分解,小波,特征保持

Abstract: In the process of obtaining and transmission,image will be degraded by all kinds of noise．Since the detail and edge are essential for describing the features of image,a novel denosing method,which combines empirical mode decomposition(EMD) and wavelet analysis with the aim to keep the detail features,was proposed in this paper．Firstly,the method decomposes the image by EMD, obtains the intrinsic mode function(IMF) and the remaining component(R)．Secondary,it decomposes the IMF by wavelet,filters obtained the IMF to remove the noise and keep the detail features．Finally,it adds the IMF filtered by wavelet and the remaining component decomposed by EMD,and then obtains the denoised image．Experiments show that the proposed method can remove noise well while keeping the detail feature which can’t be achieved only by EMD or wavelet method.

Key words: Image denoising,EMD,Wavelet,Feature preserving

王卫红,程时伟,张素琼,秦绪佳. EMD与小波分析结合的特征保持图像去噪方法[J]. 计算机科学, 2013, 40(10): 265-268. https://doi.org/

WANG Wei-hong,CHENG Shi-wei,ZHANG Su-qiong and QIN Xu-jia. Feature-Preserving Image Denoising Method Combining EMD and Wavelet Analysis[J]. Computer Science, 2013, 40(10): 265-268. https://doi.org/

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