A primal-dual multiplier method for total variation image restoration
作者: Benxin ZhangZhibin ZhuChuanpei Xu
作者单位: 1School of Electronic Engineering and Automation, Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin, 541004, China
2School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, 541004, China
刊名: Applied Numerical Mathematics, 2019, Vol.145 , pp.145-158
来源数据库: Elsevier Journal
DOI: 10.1016/j.apnum.2019.06.006
关键词: Saddle-point problemPrimal-dual methodLagrange dualTotal variation
原始语种摘要: Abstract(#br)In this paper, we propose a novel primal-dual multiplier method for total variation minimization problems. The new idea combining Lagrange dual and total variation dual is presented. Convergence of the proposed algorithms is easily obtained from the proximal point algorithm frame and numerical results including image deblurring, parallel magnetic resonance imaging and image inpainting demonstrate the effectiveness of the new algorithms.
全文获取路径: Elsevier  (合作)
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影响因子:1.152 (2012)

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关键词翻译
关键词翻译
  • variation 变异
  • image 
  • restoration 复原
  • primal 最初
  • multiplier 乘法器乘数
  • minimization 最小化
  • total 总和
  • point 
  • propose 提议
  • demonstrate 说明