A simple primal–dual method for total variation image restoration
作者: Benxin ZhangZhibin ZhuShuo Wang
作者单位: 1School of Electronic Engineering and Automation, Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin 541004, PR 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, PR China
刊名: Journal of Visual Communication and Image Representation, 2016, Vol.38 , pp.814-823
来源数据库: Elsevier Journal
DOI: 10.1016/j.jvcir.2016.04.025
关键词: Primal–dual methodSaddle-point problemTotal variationImage reconstruction
英文摘要: Abstract(#br)In this study we propose a simple primal–dual method for total variation minimization problems. A predictor–corrector scheme to the dual variable is used in our algorithms and convergence of the method is proved. We also show that the iterative scheme has O ( 1 / N ) convergence rate in the ergodic sense, where N denotes the iteration number. Numerical results including image deblurring and computerized tomography reconstruction demonstrate the efficient of the new algorithms.
全文获取路径: Elsevier  (合作)
分享到:
来源刊物:

×
关键词翻译
关键词翻译
  • restoration 复原
  • variation 变异
  • primal 最初
  • simple 单纯的
  • reconstruction 复原
  • image 
  • point 
  • total 总和
  • problem 题目
  • method 方法