A projected gradient algorithm for color image decomposition
暂无分享,去创建一个
[1] I. Ekeland,et al. Convex analysis and variational problems , 1976 .
[2] A. Bermúdez,et al. Duality methods for solving variational inequalities , 1981 .
[3] P. G. Ciarlet,et al. Introduction a l'analyse numerique matricielle et a l'optimisation , 1984 .
[4] C. Vogel. Computational Methods for Inverse Problems , 1987 .
[5] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[6] C. Vogel,et al. Analysis of bounded variation penalty methods for ill-posed problems , 1994 .
[7] Guillermo Sapiro,et al. Anisotropic diffusion of multivalued images with applications to color filtering , 1996, IEEE Trans. Image Process..
[8] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[9] D. Dobson,et al. Convergence of an Iterative Method for Total Variation Denoising , 1997 .
[10] P. Lions,et al. Image recovery via total variation minimization and related problems , 1997 .
[11] Ron Kimmel,et al. A general framework for low level vision , 1998, IEEE Trans. Image Process..
[12] Tony F. Chan,et al. Color TV: total variation methods for restoration of vector-valued images , 1998, IEEE Trans. Image Process..
[13] Gene H. Golub,et al. A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration , 1999, SIAM J. Sci. Comput..
[14] L. Ambrosio,et al. Functions of Bounded Variation and Free Discontinuity Problems , 2000 .
[15] Gjlles Aubert,et al. Mathematical problems in image processing , 2001 .
[16] Ronald F. Gariepy. FUNCTIONS OF BOUNDED VARIATION AND FREE DISCONTINUITY PROBLEMS (Oxford Mathematical Monographs) , 2001 .
[17] S. Osher,et al. IMAGE DECOMPOSITION AND RESTORATION USING TOTAL VARIATION MINIMIZATION AND THE H−1 NORM∗ , 2002 .
[18] Stanley Osher,et al. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing , 2003, J. Sci. Comput..
[19] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[20] S. Osher,et al. Geometric Level Set Methods in Imaging, Vision, and Graphics , 2011, Springer New York.
[21] Antonin Chambolle,et al. A l1-Unified Variational Framework for Image Restoration , 2004, ECCV.
[22] Jean-François Aujol. Contribution à l'analyse de textures en traitement d'images par méthodes variationnelles et équations aux dérivées partielles , 2004 .
[23] ANTONIN CHAMBOLLE,et al. An Algorithm for Total Variation Minimization and Applications , 2004, Journal of Mathematical Imaging and Vision.
[24] Patrick L. Combettes,et al. Image restoration subject to a total variation constraint , 2004, IEEE Transactions on Image Processing.
[25] V. Caselles,et al. Parabolic Quasilinear Equations Min-imizing Linear Growth Functionals , 2004 .
[26] Luminita A. Vese,et al. Image Decomposition Using Total Variation and div(BMO) , 2005, Multiscale Model. Simul..
[27] Antonin Chambolle,et al. Dual Norms and Image Decomposition Models , 2005, International Journal of Computer Vision.
[28] Wotao Yin,et al. Second-order Cone Programming Methods for Total Variation-Based Image Restoration , 2005, SIAM J. Sci. Comput..
[29] I. Daubechiesa,et al. Variational image restoration by means of wavelets : Simultaneous decomposition , deblurring , and denoising , 2005 .
[30] Patrick L. Combettes,et al. Signal Recovery by Proximal Forward-Backward Splitting , 2005, Multiscale Model. Simul..
[31] G. Aubert,et al. Modeling Very Oscillating Signals. Application to Image Processing , 2005 .
[32] Michael Elad,et al. Submitted to Ieee Transactions on Image Processing Image Decomposition via the Combination of Sparse Representations and a Variational Approach , 2022 .
[33] Antonin Chambolle,et al. Total Variation Minimization and a Class of Binary MRF Models , 2005, EMMCVPR.
[34] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[35] J. Darbon. Total variation minimization with L/sup 1/ data fidelity as a contrast invariant filter , 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..
[36] Antonin Chambolle,et al. Image Decomposition into a Bounded Variation Component and an Oscillating Component , 2005, Journal of Mathematical Imaging and Vision.
[37] Tony F. Chan,et al. Image processing and analysis - variational, PDE, wavelet, and stochastic methods , 2005 .
[38] A. Haddad. Méthodes variationnelles en traitement d'image , 2005 .
[39] Wotao Yin,et al. Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L1 Functional , 2005, VLSM.
[40] Tony F. Chan,et al. Aspects of Total Variation Regularized L[sup 1] Function Approximation , 2005, SIAM J. Appl. Math..
[41] Stanley Osher,et al. Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach , 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
[42] Tony F. Chan,et al. Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection , 2006, International Journal of Computer Vision.
[43] Mila Nikolova,et al. Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration , 2005, SIAM J. Sci. Comput..
[44] Jérôme Darbon,et al. Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization , 2006, Journal of Mathematical Imaging and Vision.
[45] Guy Gilboa,et al. Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising , 2006, Journal of Mathematical Imaging and Vision.
[46] Tony F. Chan,et al. Combining geometrical and textured information to perform image classification , 2006, J. Vis. Commun. Image Represent..
[47] Jean-François Aujol,et al. Color image decomposition and restoration , 2006, J. Vis. Commun. Image Represent..
[48] José M. Bioucas-Dias,et al. A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration , 2007, IEEE Transactions on Image Processing.
[49] Jérôme Gilles,et al. Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity , 2007, Journal of Mathematical Imaging and Vision.
[50] Raymond H. Chan,et al. The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration , 2007, IEEE Transactions on Image Processing.
[51] Wotao Yin,et al. A comparison of three total variation based texture extraction models , 2007, J. Vis. Commun. Image Represent..
[52] Michael K. Ng,et al. On Semismooth Newton’s Methods for Total Variation Minimization , 2007, Journal of Mathematical Imaging and Vision.
[53] J. Aujol,et al. Some algorithms for total variation based image restoration , 2008 .
[54] T. Chan,et al. Fast dual minimization of the vectorial total variation norm and applications to color image processing , 2008 .
[55] Gilles Aubert,et al. Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing , 2009, SIAM J. Sci. Comput..
[56] Stephen J. Wright,et al. Duality-based algorithms for total-variation-regularized image restoration , 2010, Comput. Optim. Appl..