An inexact primal–dual method with correction step for a saddle point problem in image debluring
Journal of Global Optimization(2022)
Abstract
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.
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Key words
Primal–dual method,Inexact extended proximal operators,Convergence rate,Prediction and correction,Image deblurring
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