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

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 prop...

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Veröffentlicht in:Journal of global optimization 2023-11, Vol.87 (2-4), p.965-988
Hauptverfasser: Fang, Changjie, Hu, Liliang, Chen, Shenglan
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-022-01211-6