On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition
暂无分享,去创建一个
Michael Möller | Daniel Cremers | Catalina Sbert | Joan Duran | D. Cremers | C. Sbert | Michael Möller | J. Duran | Catalina Sbert | Joan Duran
[1] L. Mirsky. SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS , 1960 .
[2] Yoram Singer,et al. Efficient projections onto the l1-ball for learning in high dimensions , 2008, ICML '08.
[3] Tony F. Chan,et al. Color TV: total variation methods for restoration of vector-valued images , 1998, IEEE Trans. Image Process..
[4] Giorgio C. Buttazzo,et al. Variational Analysis in Sobolev and BV Spaces - Applications to PDEs and Optimization, Second Edition , 2014, MPS-SIAM series on optimization.
[5] Jean-Michel Morel,et al. Fast Cartoon + Texture Image Filters , 2010, IEEE Transactions on Image Processing.
[6] Daniel Cremers,et al. A convex relaxation approach for computing minimal partitions , 2009, CVPR.
[7] Mingqiang Zhu,et al. An Efficient Primal-Dual Hybrid Gradient Algorithm For Total Variation Image Restoration , 2008 .
[8] Daniel Cremers,et al. An approach to vectorial total variation based on geometric measure theory , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Yves Meyer,et al. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures , 2001 .
[10] T. Chan,et al. Fast dual minimization of the vectorial total variation norm and applications to color image processing , 2008 .
[11] L. Ambrosio,et al. Functions of Bounded Variation and Free Discontinuity Problems , 2000 .
[12] Antoni Buades,et al. Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image , 2013, Image Process. Line.
[13] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[14] Gabriele Steidl,et al. First order algorithms in variational image processing , 2014, ArXiv.
[15] V. Ivanov,et al. Conditions for well-posedness in the Hadamard sense in spaces of generalized functions , 1987 .
[16] Tony F. Chan,et al. A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science , 2010, SIAM J. Imaging Sci..
[17] R. Tyrrell Rockafellar,et al. Convex Analysis , 1970, Princeton Landmarks in Mathematics and Physics.
[18] Stanley Osher,et al. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing , 2003, J. Sci. Comput..
[19] Antonin Chambolle,et al. How to make sure the iterates of FISTA converge , 2014 .
[20] Y. Nesterov. A method for solving the convex programming problem with convergence rate O(1/k^2) , 1983 .
[21] Petros Maragos,et al. Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems , 2013, SSVM.
[22] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[23] J. Hiriart-Urruty,et al. Convex analysis and minimization algorithms , 1993 .
[24] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[25] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Xiaoming Yuan,et al. Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems , 2013, 1305.0546.
[27] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[28] Guillermo Sapiro,et al. Anisotropic diffusion of multivalued images with applications to color filtering , 1996, IEEE Trans. Image Process..
[29] Michael Möller,et al. A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms , 2015, EMMCVPR.
[30] Antonin Chambolle,et al. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging , 2011, Journal of Mathematical Imaging and Vision.
[31] Guillermo Sapiro,et al. Vector-valued active contours , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[32] Tamara Seybold,et al. Beyond the Kodak image set: A new reference set of color image sequences , 2013, 2013 IEEE International Conference on Image Processing.
[33] Mila Nikolova,et al. Local Strong Homogeneity of a Regularized Estimator , 2000, SIAM J. Appl. Math..
[34] Lei Zhang,et al. Image demosaicing: a systematic survey , 2008, Electronic Imaging.