各向异性图像扩散的多重网格格子波尔兹曼方法  

Multi-grid Lattice Boltzmann Method for Anisotropic Image Diffusion

作　　者：黄彬[1] 严壮志[1,2] 周明[1] 

机构地区：[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

出　　处：《应用科学学报》2013年第6期619-627,共9页Journal of Applied Sciences

基　　金：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

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.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.

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 

分 类 号：TN911.73[电子电信—通信与信息系统]