An inexact primal-dual method with correction step for a saddle point problem in image debluring

被引:0
|
作者
Fang, Changjie [1 ,2 ]
Hu, Liliang [1 ,2 ]
Chen, Shenglan [1 ,2 ]
机构
[1] Chongqing Univ Posts & Telecommun, Key Lab Intelligent Anal & Decis Complex Syst, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Primal-dual method; Inexact extended proximal operators; Convergence rate; Prediction and correction; Image deblurring; THRESHOLDING ALGORITHM; OPTIMIZATION; CONVERGENCE;
D O I
10.1007/s10898-022-01211-6
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we present an inexact primal-dual method with correction step for a saddle point problem by introducing the notations of inexact extended proximal operators with symmetric positive definite matrix D. Relaxing requirement on primal-dual step sizes, we prove the convergence of the proposed method. We also establish the O(1/N) convergence rate of our method in the ergodic sense. Moreover, we apply our method to solve TV-L-1 image deblurring problems. Numerical simulation results illustrate the efficiency of our method.
引用
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页码:965 / 988
页数:24
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