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应用科学学报 ›› 2013, Vol. 31 ›› Issue (6): 619-627.doi: 10.3969/j.issn.0255-8297.2013.06.011

• 信号与信息处理 • 上一篇    下一篇

各向异性图像扩散的多重网格格子波尔兹曼方法

黄彬1， 严壮志1,2， 周明1   

  1. 1. 上海大学通信与信息工程学院，上海200072
    2. 上海大学生物医学工程研究所，上海200072
  • 收稿日期:2013-02-01 修回日期:2013-03-05 出版日期:2013-11-29 发布日期:2013-03-05
  • 作者简介:严壮志，教授，博导，研究方向：生物医学图像与信息处理，E-mail：zzyan@shu.edu.cn
  • 基金资助:

    国家自然科学基金(No.61171146)；上海市科委科技创新行动计划基金(No.11DZ1921702)资助

Multi-grid Lattice Boltzmann Method for Anisotropic Image Diffusion

HUANG Bin1, YAN Zhuang-zhi1,2, ZHOU Ming1   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
    2. Institute of Biomedical Engineering, Shanghai University, Shanghai 200072, China
  • Received:2013-02-01 Revised:2013-03-05 Online:2013-11-29 Published:2013-03-05

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843

被引次数

1

摘要： 为提高基于格子波尔兹曼(Lattice Boltzmann,LB) 模型图像降噪方法的计算效率和精度，提出了一种多重网格LB (multigrid LB,M-LB) 模型的降噪方法，即通过不同尺度网格的LB 模型实现各向异性图像扩散，在图像变化剧烈的区域采用较细尺度的网格，而在图像变化缓慢的区域采用较粗尺度的网格. 为验证M-LB 方法针
对斑点噪声抑制的效果与效率，对自然图像、合成图像、医学超声图像进行降噪处理，分别与现有的一种多重网格扩散方法和两种LB方法进行对比．实验结果显示，M-LB 方法较其他3 种方法抑制斑点噪声效果更好，降噪处理效率更高．

关键词: 斑点噪声抑制, 各向异性图像扩散, 多重网格, 格子波尔兹曼方法

Abstract: To augment precision and computing efficiency of traditional Lattice Boltzmann (LB) methods in speckle reduction, this paper proposes a multi-grid LB (M-LB) method. The method automatically realizes anisotropic image diffusion of LB by applying different scales of grid: fine-grids are applied to regions with
obvious gradient change, and coarse-grids applied to regions with tiny gradient change. Experiments were carried out to test the method for speckle noise reduction. The proposed M-LB method was compared to an existing multi-grid method and two traditional LB methods. Natural images, composite images and medical ultrasound images were used. The experiments show that the M-LB method can achieve better denoising results and higher computation efficiency.

Key words: speckle reduction, anisotropic image diffusion, multi-grid, Lattice Boltzmann method

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