液晶与显示2017，Vol.32Issue(4)：294-301,8.DOI:10.3788/YJYXS20173204.0294
改进离散格子玻尔兹曼方法的图像去噪
Image denoising based on modified discrete lattice Boltzmann method
于宁宁1
作者信息
- 1. 浙江越秀外国语学院 网络传播学院,浙江 绍兴 312000
- 折叠
摘要
Abstract
In order to solve the problem of low image contrast and serious noise pollution in the process of biomedical image processing,a modified lattice Boltzmann method is proposed.The algorithm structures the piecewise linear stretching function,and constructed it as the external force factor of the LBM formula to build the evolution equation.The algorithm adjusts the change factor σto synchronously control the correlation between image noise reduction and contrast enhancement to eliminate the contrast between noise reduction and contrast enhancement.By optimizing the weighting coefficients of the equilibrium distribution,the solution accuracy and speed of the tradeoff diffusion equation are obtained.The edge feature and the iterative step are embedded in the relaxation factor to realize the non-linear diffusion denoising of the medical image and to solve the contradiction between the synchronous noise reduction and the contrast enhancement in the medical image processing.The simulation results show that the proposed algorithm is more effective than other noise reduction algorithms in suppressing noise effectively.关键词
离散格子玻尔兹曼/图像去噪/外力因子/松弛因子/平衡分布Key words
discrete lattice Boltzmann method/image denoising/external force factor/relaxation factor/balanced distribution分类
信息技术与安全科学引用本文复制引用
于宁宁..改进离散格子玻尔兹曼方法的图像去噪[J].液晶与显示,2017,32(4):294-301,8.
