基于Rudin-Osher-Fatemi模型的图像除模糊和除噪音新模型(英文)  

A Model for Image Deblurring and Denoising Based on the Rudin-Osher-Fatemi Model

作　　者：石玉英[1] 常谦顺[2] 

机构地区：[1]华北电力大学数理系,北京102206 [2]数学与系统科学研究院应用数学所中科院研究生院,北京100080

出　　处：《计算物理》2006年第5期551-558,共8页Chinese Journal of Computational Physics

摘　　要：介绍一种依赖时间的新模型来解决图像除噪音和除模糊问题.分别使用逆反射、中值两种边界条件的数值试验比较本文新模型和Rudin_Osher_Fatemi模型.试验结果表明中值边界条件的误差比逆反射边界条件误差小.A time dependent model for deblurring and denoising problems is proposed. Comparisons with the Rudin-Osher- Fatemi model are made in numerical experiments with antirefleefive boundary conditions and medium boundary conditions. The results demonstrate that the error with medium boundary conditions is smaller than that with antirefleefive boundary conditions.

关 键 词：除模糊 除噪音 逆反射边界条件 中值边界条件 

分 类 号：O24[理学—计算数学]