Open Access
| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 9 | |
| Section | Session II: Computer Vision and Image Processing | |
| DOI | https://doi.org/10.1051/itmconf/20171102003 | |
| Published online | 23 May 2017 | |
- Bai zhengjian, Donatelli Marco, Capizzano Stefano Serra, Fast preconditioners for total variation deblurring with anti-reflective boundary conditions, SIAM Journal on matrix analysis and applications, 32, 3(2011) [Google Scholar]
- Serafini Thomas, Zanghirati Gaetano, Zanni Luca, Gradient projection methods for large quadratic programs and applications in training support vector machines, Optimization Methods and Software, 20, 2–3(2004) [CrossRef] [MathSciNet] [Google Scholar]
- Du Z M, Li H A, Kang B S, Ye F Y, Recovery method of compressed sensing signals based on quadratic convergence regularization with a smooth functional[J], Journal of Image and Graphics, 21, 4(2016). [Google Scholar]
- Li X C, Bian S X, Li Y Y, Survey of convex energy functional regularization model of image restoration[J], Journal of Image and Graphics, 21, 4(2016). [Google Scholar]
- Leonid I. Rudin, Stanley Osher, Emad Fatemi, Nonlinear total variation based noise removal algorithms, Physical D: Nonlinear Phenomena, 60, 1(1992) [CrossRef] [Google Scholar]
- Curtis R. Vogel, Computational methods for inverse problems(SIAM: Society for Industrial and Applied Mathematics, 2002) [Google Scholar]
- Combettes P. L, V. Wajs, Signal recovery by proximal forward-backward splitting, SIAM Journal on Multiscale Modeling and Simulation, 4, 4(2005) [Google Scholar]
- Beck Amir, Teboulle Marc, A fast dual proximal gradient algorithm for convex minimization and applications, Operations Research Letters, 42, 1(2014) [CrossRef] [MathSciNet] [Google Scholar]
- Antonin Chambolle, An algorithm for total variation minimization and applications, Journal of Mathematical Imaging and Vision, 20, 1–2(2004) [Google Scholar]
- Duran Joan, Coll Bartomeu, Sbert Catalina, Chambolle’s projection algorithm for total variation denoising, Image Processing on Line, 3, (2013) [Google Scholar]
- Antonin Chambolle, Thomas Pock, A first-order primal-dual algorithm for convex problems with applications to imaging, Journal of Mathematical Imaging and Vision,40,1( 2011) [CrossRef] [MathSciNet] [Google Scholar]
- Goldstein Tom, Esser Ernie, Baraniuk Richard, Adaptive primal-dual hybrid gradient methods for saddle- point problems, http://arxiv.org/abs/1305.0546 (2013) [Google Scholar]
- Gilles Aubert, Pierre Kornprobst, Mathematical problems in image processing, partial differential equations and the calculus of variations, second edition (Springer-Verlag, New York, USA, 2006) [Google Scholar]
- Katrina Palmer Lee, James G. Nagy, Lisa Perrone, Iterative methods for image deblurring: a matlab object- oriented approach, Numerical Algorithms, 36, 1(2004) [CrossRef] [MathSciNet] [Google Scholar]
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