A Primal-Dual Hybrid Gradient Algorithm to Solve the LLT Model for Image Denoising  

作　　者：Chunxiao Liu Dexing Kong Shengfeng Zhu 

机构地区：[1]Department of Mathematics,Hangzhou Normal University,Hangzhou 310036,China [2]Department of Mathematics,Zhejiang University,Hangzhou,China

出　　处：《Numerical Mathematics(Theory,Methods and Applications)》2012年第2期260-277,共18页高等学校计算数学学报（英文版）

摘　　要：We propose an efficient gradient-type algorithm to solve the fourth-order LLT denoising model for both gray-scale and vector-valued images.Based on the primal-dual formulation of the original nondifferentiable model,the new algorithm updates the primal and dual variables alternately using the gradient descent/ascent flows.Numerical examples are provided to demonstrate the superiority of our algorithm.

关 键 词：LLT model image denoising PRIMAL-DUAL 

分 类 号：O22[理学—运筹学与控制论]