A robust and fast combination algorithm for deblurring and denoising
Authors:
- 30 June 2013
- journal article
- research article
- Published by Springer Nature in Signal, Image and Video Processing
- Vol. 9 (4) , 865-874
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Fast Preconditioners for Total Variation Deblurring with Antireflective Boundary ConditionsSIAM Journal on Matrix Analysis and Applications, 2011
- The Split Bregman Method for L1-Regularized ProblemsSIAM Journal on Imaging Sciences, 2009
- A Fast Total Variation Minimization Method for Image RestorationMultiscale Modeling & Simulation, 2008
- Acceleration methods for image restoration problem with different boundary conditionsApplied Numerical Mathematics, 2007
- An EM algorithm for wavelet-based image restorationIEEE Transactions on Image Processing, 2003
- Efficient Algebraic Multigrid Algorithms and Their ConvergenceSIAM Journal on Scientific Computing, 2002
- On the Algebraic Multigrid MethodJournal of Computational Physics, 1996
- On Recombining Iterants in Multigrid Algorithms and Problems with Small IslandsSIAM Journal on Scientific Computing, 1995
- Analysis of bounded variation penalty methods for ill-posed problemsInverse Problems, 1994
- Nonlinear total variation based noise removal algorithmsPhysica D: Nonlinear Phenomena, 1992