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发表刊物：JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

刊物所在地：ACADEMIC PRESS INC ELSEVIER SCIENCE

关键字：Total variational image deblurring; Sub-differential operator; Prediction and correction; Pairwise primal-dual stepsize

摘要：In this paper, a simple primal-dual method named PDL is proposed for a convex concave saddle problem and applied to total variational image deblurring. Introduction of linear mapping on proximal term relaxes convergence requirement on pairwise primal-dual stepsize. Simple proof is presented for O(1/N) convergence rate in ergodic sense. Experiments show that performance of PDL is comparable with proximal PDHG (Zhu et al., 2010; Bonettini and Ruggiero, 2012) and PDCP (Chambolle and Pock, 2011) on Gaussian or Salt-Pepper noisy image deblurring.

卷号：42

页面范围：112–120

是否译文：否

发表时间：2016-12-01

第一作者：谢志鹏