TVAL3

TVAL3: TV minimization by Augmented Lagrangian and ALternating direction ALgorithms: Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained non-smooth optimization problems (chiefly but not necessarily convex programs) with a particular structure. The algorithm effectively combines an alternating direction technique with a nonmonotone line search to minimize the augmented Lagrangian function at each iteration. We establish convergence for this algorithm, and apply it to solving problems in image reconstruction with total variation regularization. We present numerical results showing that the resulting solver, called TVAL3, is competitive with, and often outperforms, other state-of-the-art solvers in the field.


References in zbMATH (referenced in 15 articles , 1 standard article )

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  1. Glaubitz, Jan; Gelb, Anne: High order edge sensors with (\ell^1) regularization for enhanced discontinuous Galerkin methods (2019)
  2. Liu, Zexian; Liu, Hongwei; Wang, Xiping: Accelerated augmented Lagrangian method for total variation minimization (2019)
  3. Theeda, Prasad; Kumar, P. U. Praveen; Sastry, C. S.; Jampana, P. V.: Reconstruction of sparse-view tomography via preconditioned Radon sensing matrix (2019)
  4. Sanders, Toby: Parameter selection for HOTV regularization (2018)
  5. Scarnati, Theresa; Gelb, Anne; Platte, Rodrigo B.: Using (\ell_1) regularization to improve numerical partial differential equation solvers (2018)
  6. Zhang, Linan; Schaeffer, Hayden: Stability and error estimates of BV solutions to the Abel inverse problem (2018)
  7. Chen, Yunmei; Li, Xianqi; Ouyang, Yuyuan; Pasiliao, Eduardo: Accelerated Bregman operator splitting with backtracking (2017)
  8. Chow, Yat Tin; Wu, Tianyu; Yin, Wotao: Cyclic coordinate-update algorithms for fixed-point problems: analysis and applications (2017)
  9. Keshvari, Abolfazl: A penalized method for multivariate concave least squares with application to productivity analysis (2017)
  10. Sanders, Toby; Gelb, Anne; Platte, Rodrigo B.: Composite SAR imaging using sequential joint sparsity (2017)
  11. Dassios, Ioannis; Fountoulakis, Kimon; Gondzio, Jacek: A preconditioner for a primal-dual Newton conjugate gradient method for compressed sensing problems (2015)
  12. Schaeffer, Hayden; Yang, Yi; Osher, Stanley: Space-time regularization for video decompression (2015)
  13. Schaeffer, Hayden; Yang, Yi; Zhao, Hongkai; Osher, Stanley: Real-time adaptive video compression (2015)
  14. Li, Chengbo; Yin, Wotao; Jiang, Hong; Zhang, Yin: An efficient augmented Lagrangian method with applications to total variation minimization (2013)
  15. Yang, Junfeng; Zhang, Yin: Alternating direction algorithms for (\ell_1)-problems in compressive sensing (2011)