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Volume 30 Issue 3
Dec.  2010
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Dai Fang, Xue Jian-ru, Zheng Nan-ning. Embedding Intrinsic Mode Function into Anisotropic Diffusion Equation for Image Denoising[J]. Journal of Electronics & Information Technology, 2008, 30(3): 509-513. doi: 10.3724/SP.J.1146.2007.00511
Citation: Dai Fang, Xue Jian-ru, Zheng Nan-ning. Embedding Intrinsic Mode Function into Anisotropic Diffusion Equation for Image Denoising[J]. Journal of Electronics & Information Technology, 2008, 30(3): 509-513. doi: 10.3724/SP.J.1146.2007.00511

Embedding Intrinsic Mode Function into Anisotropic Diffusion Equation for Image Denoising

doi: 10.3724/SP.J.1146.2007.00511
  • Received Date: 2007-04-06
  • Rev Recd Date: 2007-09-24
  • Publish Date: 2008-03-19
  • In this paper, an image denoising model which embeds intrinsic mode function into Perona-Malik model is proposed. Firstly, the image is decomposed into Intrinsic Mode Functions (IMFs) by using empirical mode decomposition technique; each of IMFs captures the feature information under different scales. Secondly, the first and second IMFs are embedded into Perona-Malik model. Experimental results indicate that this method is more efficient than Perona-Malik model in removing Gaussian noise. Moreover, this method can remove salt and pepper noise.
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  • Buades A, Coll B, and Morel J M. A review of imagedenoising algorithms, with a new one[J].Multiscale Model.Simul.2005, 4(2):490-530[2]Perona P and Malik J. Scale-space and edge detection usinganisotropic diffusion[J].IEEE Trans. on Pattern Analysis andMachine Intelligence.1990, 12(7):629-639[3]Catte F, Lions P, and Morel J. Image selective smoothing andedge detection by nonlinear diffusion[J].SIAM J. Numer. Anal.1992, 29(1):182-193[4]Alvarez L, Lions P, and Morel J. Image Selective Smoothingand Edge Detection by Nonlinear Diffusion II[J].SIAM J.Numer. Anal.1992, 29(3):845-866[5]Luo H, Zhu L, and Ding H. Coupled anisotropic diffusion forimage selective smoothing[J].Signal Processing.2006, 86(7):1728-1736[6]林宙辰,石青云. 一个能去噪和保持真实感的各向异性扩散方程. 计算机学报, 1999, 22(11): 1133-1137.Lin Z C and Shi Q Y. An anisotropic diffusion equation thatcan remove noise and keep naturalness. Chinese J. Computers,1999, 22(11): 1133-1137.[7]张元林,郑南宁,袁泽剑. 一种改进的图像自适应非线性滤波方法. 西安交通大学学报, 2004, 38(2): 162-166.Zhang Y L, Zheng N N, and Yuan Z J. Improvement of imageadaptive nonlinear filtering. Journal of Xian JiaotongUniversity, 2004, 38(2): 162-166.[8]Huang N E, Shen Z, Long S R, Wu M C, and Shih H H, et al..The empirical mode decomposition and the Hilbert spectrumfor nonlinear and non-stationary time series analysis[J].Proc. R.Soc. Lond. A.1998, 454:903-995
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