@ARTICLE{8488571,
author={D. {Gong} and M. {Tan} and Q. {Shi} and A. {van den Hengel} and Y. {Zhang}},
journal={IEEE Transactions on Image Processing},
title={MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution},
year={2019},
volume={28},
number={4},
pages={1851-1865},
keywords={computer vision;convex programming;deconvolution;gradient methods;image denoising;image reconstruction;image restoration;iterative methods;linear programming;minimisation;quadratic programming;image deconvolution;total variation regularization;computer vision tasks;preferential weighting;sharp image edges;over-smoothing issue;homogeneous penalization;inhomogeneous regularization;inhomogeneous TV minimization problem;convex quadratic constrained linear programming problem;matching pursuit-based total variation minimization method;MPTV method;cutting-plane method;nonzero image gradients;TV;Deconvolution;Task analysis;Matching pursuit algorithms;Kernel;Optimization;Minimization;Total variation;image deconvolution;matching pursuit;convex programming},
doi={10.1109/TIP.2018.2875352},
ISSN={},
month={April},}