基于OSV模型的迭代规则化医学图像去噪方法

提出一种基于Osher-Sole-Vese(OSV)模型的迭代规则化医学图像去噪方法。该方法使用迭代规则化方式,通过加入分解出的纹理和细节震动信号以修正原始OSV模型的全变分去噪结果,在一定程度上克服了医学图像去噪过程中对细节和纹理信息的过渡平滑。同时给出了迭代规则化医学图像去噪方法的实现步骤。实验结果表明,新方法能较好地保护医学图像的细节和纹理信息。

Abstract

This paper proposes an iterative regularization denoising method based on Osher-Sole-Vese (OSV) model for medical image denoising. By using iterative regularization,the oscillating patterns of texture and details are added back to fit and compute the original OSV model,and the iterative behavior avoids overfull smoothing while denoising the features of textures and details to a certain extent. In addition,the iterative procedure is proposed in this paper. Experimental results show that the proposed method can achieve a better result in preserveing the texture and details for medical image denoising.

参考文献

[1] T. F. Chan,J. Shen,L. Vese. Variational PDE models in image processing[J]. Notices Amer. Math. Soc.,2003,50(1):14-26

[2] D. Strong,T. F. Chan. Edge preserving and scale dependent properties of total variation regularization[C]. Inv. Probl.,2003,19(6):s165-s187

[3] 沈婷梅,顾瑛,王天时等. 光学相干层析成像中散斑噪声减小算法[J]. 中国激光,2008,35(9):1437-1440

Shen Tingmei,Gu Ying,Wang Tianshi et al.. Speckle reduction in optical coherence tomography[J] . Chinese J. Lasers,2008,35(9):1437-1440

[4] G. Gilboa,N. Sochen,Y. Y. Zeevi. Variational denoising of partly-textured images by spatially varying constraints[J]. IEEE Transactions on Image Processing,2006,15(8):2281-2289

[5] 杨夏,于起峰,伏思华. 散斑条纹图的自适应窗口滤波方法[J]. 光学学报,2007,27(4):625-630

Yang Xia,Yu Qifeng,Fu Sihua. Adaptive window filter for electric speckle pattern interferometry fringe pattern [J]. Acta Optica Sinica,2007,27(4):625-630

[6] 付东翔,陈家璧,马军山等. 双波长激光共聚焦生物芯片检测与图像处理[J]. 中国激光,2006,33(8):1097-1103

Fu Dongxiang,Chen Jiabi,Ma Junshan et al.. Two-wavelength laser confocal scanning system for microarray and image processing[J]. Chinese J. Lasers,2006,33(8):1097-1103

[7] Y. Meyer. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations[M]. University Lecture Scries. Boston,USA:American Mathematical Society,2001.11-34

[8] L. A. Vese,S. J. Osher. Modeling textures with total variation minimization and oscillating patterns in image processing[J]. J. Scientific Computing,2003,19(11):553-572

[9] S. Osher,A. Sole,L. Vese. Image decomposition and restoration using total variation minimization and the H-norm[J]. J. Multiscale Modeling and Simulation,2003,1(3):349-370

[10] 白俊奇,陈钱. 基于各向异性扩散的红外图像噪声滤波算法[J]. 光学学报,2008,28(5):866-869

Bai Junqi,Chen Qian. Algorithm for infrared image noise filtering based on anisotropic diffusion[J]. Acta Optica Sinica,2008,28(5):866-869

[11] E. Tadmor,S. Nezzar,L. Vese. Multiscale hierarchical decomposition of images with applications to deblurring,denoising and segmentation[J]. Communications in Math. Sciences,2008,6(2):281-307

[12] T. Le,L. Vese. Image decomposition using the total variation and div(BMO)[J]. J. Multiscale Modeling and Simulation,2005,4(2):390-423

[13] J. F. Aujol,G. Aubert,L. Blanc-Feraud et al.. Image decomposition into a bounded variation component and an oscillating component[J]. J. Math. Imag. Vis.,2005,22(1):71-88

[14] Chen Yunmei,S. Levine,M. Rat. Variable exponent,linear growth functionals in image processing[J]. SIAM Journal on Applied Mathematics,2006,66(4):1383-1406

[15] J. F. Aujol,A. Chambolle. Dual norms and image decomposition models[J]. International J. Computer Vision,2005,63(1):85-104

陈冠楠, 陈荣, 林居强, 黄祖芳, 冯尚源, 李永增, 杨坤涛. 基于OSV模型的迭代规则化医学图像去噪方法[J]. 中国激光, 2009, 36(10): 2548. Chen Guannan, Chen Rong, Lin Juqiang, Huang Zufang, Feng Shangyuan, Li Yongzeng, Yang Kuntao. Iterative Regularization Denoising Method Based on OSV Model for Medical Image Denoising[J]. Chinese Journal of Lasers, 2009, 36(10): 2548.

基于OSV模型的迭代规则化医学图像去噪方法

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