吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 340-344.

• 论文 • 上一篇    下一篇

二进小波与扩散滤波结合的光学相干层析图像降噪

张田1, 孙延奎1, 田小林2   

  1. 1. 清华大学 计算机科学与技术系,北京 100084;
    2. 澳门科技大学资讯科技学院,澳门特别行政区
  • 收稿日期:2012-05-20 发布日期:2013-06-01
  • 通讯作者: 孙延奎(1965-),男,博士,副教授.研究方向:小波分析,可视化与图形学,医学图像处理.E-mail:syk@mail.tsinghua.edu.cn E-mail:syk@mail.tsinghua.edu.cn
  • 作者简介:张田(1983-),男,硕士.研究方向:医学图像处理,科学计算可视化.E-mail:kasperlzhang@gmail.com
  • 基金资助:

    国家自然科学基金项目(60971006);澳门特别行政区科学技术发展基金项目(063/2010/A).

Optical coherence tomography image denoising method by merging dyadic wavelet and anisotropic diffusion filter

ZHANG Tian1, SUN Yan-kui1, TIAN Xiao-lin2   

  1. 1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2. Faculty of Information Technology, Macau University of Science and Technology, Macao SAR, China
  • Received:2012-05-20 Published:2013-06-01

摘要:

斑点抑制各向异性扩散(SRAD)是一种重要的图像降噪方法。将二进小波与SRAD结合,提出一种光学相干层析图像的二进小波扩散滤波降噪方法。该方法利用二进小波分解得到的不同尺度间小波系数的相关性区分边缘和噪声,修改SRAD中扩散系数得到新的扩散系数计算公式。实验表明,新方法具有更好的降噪能力,降噪后得到的图像的信噪比和对比度噪声比率等量化衡量指标都优于经典SRAD方法。

关键词: 光学相干层析, 图像降噪, 各向异性扩散, 二进小波

Abstract:

Speckle reduction anisotropic diffusion (SRAD)is an important method to denoise speckle noise.A new method was presented to denoise optical coherence tomography (OCT) speckle by combining SRAD and dyadic wavelet.Interscale dependency of dyadic wavelet coefficients was used to distinguish edges from noises.A quantitative estimation was provided to evaluate the probability that a pixel lied in edge-related regions or homogenous regions,and the probability was used to modify the diffusion coefficient in SRAD to get a new anisotropic diffusion method,which exhibited an increased ability to detect and suppress strong noises,while still equally was good at preserving image edges.Experiments show that the denoising performance of our method is better than that of SRAD.

Key words: optical coherence tomography, image denoising, anisotropic diffusion, dyadic wavelet

中图分类号: 

  • TN911.73

[1] Zysk A M,Nguyen F T,Oldenburg A L,et al.Optical coherence tomography:a review of clinical development from bench to bedside[J].Journal of Biomedical Optics,2007,12(5):12-16.

[2] Jindahra P,Hedges T R,Mendoza-Santiesteban C E,et al.Optical coherence tomography of the retina:applications in neurology[J].Current Opinion In Neurology,2010,23(1):16-23.

[3] Karamata B,Hassler K,Laubscher M,et al.Speckle statistics in optical coherence tomography [J].Journal of the Optical Society of America A-Optics Image Science and Vision,2005,22(4):593-596.

[4] Sendur L,Selesnick I W.Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency[J].IEEE Transactions on Signal Processing,2002,50(11):2744-2756.

[5] Pizurica A,Philips W.Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising[J].IEEE Transactions on Image Processing,2006,15(3):654-665.

[6] Jian Zhong-ping,Yu Zhao-xia,Yu Ling-feng,et al.Speckle attenuation in optical coherence tomography by curvelet shrinkage[J].Optics Letters,2009,34(10):1516-1518.

[7] Yong Yue,Croitoru M M,Bidani A,et al.Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images[J].IEEE Transactions on Medical Imaging,2006,25(3):297-311.

[8] Yu Y J,Acton S T.Speckle reducing anisotropic diffusion[J].IEEE Transactions on Image Processing,2002,11(11):1260-1270.

[9] Perona P,Malik J.Scale-Space and edge-detection using anisotropic diffusion[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(7):629-639.

[10] Mallat S,Zhong S.Singularity detection and processing with wavelets[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(7):710-732.

[11] Junmei Zhong,Ruola Ning,David Conover.Image denoising based on multiscale singularity detection for cone beam CT breast imaging[J].IEEE Transactions on Medical Imaging,2004,23(6):696-703.

[12] Zhong Jun-mei,Sun Hui-fang.Wavelet-based multiscale anisotropic diffusion with Adaptive Statistical analysis for image restoration [J].IEEE Transactions on Circuits and Systems—I:Regular Papers,2008,55(9):2716-2725.

[13] 段炼,何永红,朱锐,等.三维谱域光学相干层析成像系统的研制[J].中国激光,2009,36(10):2528-2533. Duan Lian,He Yong-hong,Zhu Rui,et al.Development of a spectrum domain 3D optical coherence tomography system [J].Chinese Journal of Lasers,2009,36(10):2528-2533.

[14] Salinas H M,Fernandez D C.Comparison of PDE-based nonlinear diffusion approaches for image enhancement and denoising in optical coherence tomography [J].IEEE Transactions on Medical Imaging,2007,26(6):761-771.

[15] 邓菊香,梁艳梅.光学相干层析图像的小波降噪方法研究[J].光学学报,2009,29(8): 2138-2141. Deng Ju-xiang,Liang Yan-mei.Noise reduction with wavelet transform in optical coherence tomographic images [J].Acta Optica Sinica,2009,29(8):2138-2141.

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