Some Nonlocal Variational Models along with Their Fast Algorithms

摘要：

　　Models based on local operators cant preserve texture information.Nonlocal models can be used for many image processing tasks.A main advantage of nonlocal models over classical PDE-based algorithms is the ability to handle textures and repetitive structures.Some nonlocal models along with their Split Bregman algorithms are proposed for image denoising, image inpainting, and image segmentation in this paper.Finally, numerical experiments are shown to validate the efficiency and effectiveness of the proposed models.

关键词： nonlocal operators variational method Mumford-Shah model Split Bregman algorithm

作者: Shixiu Zheng Zhenkuan Pan Jinming Duan Wenqi Lu Cunliang Liu

作者单位: Business School of Qingdao University, China;College of Computer Science & Technology, Qingdao Unive College of Computer Science & Technology, Qingdao University, China School of Computer Science, University of Nottingham, UK

会议类型: 国际会议

会议名称: The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

会议地点: 武汉

会议语种:英文

页码: 34-38

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）