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基于改进总变差模型的图像去噪算法
引用本文:吕丽萍,王元全,王怀彬.基于改进总变差模型的图像去噪算法[J].天津理工大学学报,2010,26(6).
作者姓名:吕丽萍  王元全  王怀彬
作者单位:天津理工大学天津市智能计算与软件技术重点实验室;
摘    要:总变差模型(TV)是基于偏微分方程图像去噪模型中的经典模型,但去噪的过程中存在阶梯效应(块儿效应),使去噪后的图像显得很不自然,这是由于TV模型的分段平滑造成的.本文加入自适应系数,使其在平滑区域退化为类似于拉普拉斯算子的各向同性扩散,加快扩散速度,消除阶梯效应;在边缘位置,新模型沿切线方向扩算,抑制法线方向扩散,保持边缘.

关 键 词:总变差模型  图像去噪  偏微分方程

Improvement of total variation model for image denoising
LV Li-ping,WANG Yuan-quan,WANG Huai-bin.Improvement of total variation model for image denoising[J].Journal of Tianjin University of Technology,2010,26(6).
Authors:LV Li-ping  WANG Yuan-quan  WANG Huai-bin
Institution:LV Li-ping,WANG Yuan-quan,WANG Huai-bin(Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin Univiversity of Technology,Tianjin 300191,China)
Abstract:Total variation model is a classical image de-noising model based on partial differential equation,while there is staircase effect in the denoising process.This is because of the piecewise smooth of the total variation model.The paper adds the adaptive coefficient of the image to the model,makes the model degeneration to isotropic diffusion in the smooth area like Laplacian operator,accelerate the diffusion rate,and eliminate the staircase.At the edge points,the new model spreads along the tangential direct...
Keywords:total variation model  image denoising  partial differential equation  
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