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论文类型：期刊论文

发表时间：2016-01-01

发表刊物：Journal of Algorithms and Computational Technology

收录刊物：EI

卷号：10

期号：4

页面范围：235-243

ISSN号：17483018

摘要：The total variation-based Rudin COsher CFatemi model is an effective and popular prior model in the image processing problem. Different to frequently using the splitting scheme to directly solve this model, we propose the primal dual method to solve the smoothing total variation-based Rudin COsher CFatemi model and give some convergence analysis of proposed method. Numerical implements show that our proposed model and method can efficiently improve the numerical results compared with the Rudin COsher CFatemi model. ? The Author(s) 2016.