中文摘要：

格子玻尔兹曼方法（LBM）是一种新兴的求解偏微分方程的数值工具,论文提出了一种基于对流扩散方程的图像去噪模型,并运用格子波尔兹曼方法对模型进行了求解。实验结果表明,该模型对含噪图像有着很好地去噪能力,同时还能很好的保持边缘细节信息。与P-M模型的AOS算法相比,在计算效率上有着较明显的优势,并且克服了处理前对阈值参数的选择,进一步地满足了图像处理中实时处理的要求。

英文摘要：

The lattice boltzmann method is an emerging tool for solving partical differential equations（PDE）a new image de-noising model is proposed based on convection-diffusion equations and the lattice boltzmann method is used to evolve the new model.Simulation experiment and real experiment data processing results and analysis show that the new model has a good de-noising ability on the interference figure and normal image.At the same time,it also can keep the edge details so well.Compared with P-M model of AOS algorithm,the new model has better computation efficiency and calculation result.