A Dual-Based Adaptive Gradient Method for TV Image Denoising

摘要：

　　The total variation model proposed by Rudin,Osher and Fatemi for image denoising is considered to be one of the best denoising models.In this paper,we propose,analyze and test a dual based method to solve the total variation model.This method minimizes a quadratic function with separable constraints,and we make projections onto a feasible set so that it is easy to compute.Under some mild conditions,global convergence of the proposed method is established.The proposed approach could be easily implemented.Preliminary results are reported to demonstrate its performance.

关键词： Image denoising Total variation Nonmonotone line search Gradient projection

作者: Yan Liao Jialin Hua Wei Xue

作者单位: School of Mathematics and Computer Sciences,Gannan Normal University,Ganzhou 341000,China School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 2100

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 229-244

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）