Computer Science ›› 2013, Vol. 40 ›› Issue (10): 265-268.

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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

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

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