Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
Tóm tắt
Từ khóa
Tài liệu tham khảo
J.F. Aujol, G. Aubert, L. Blanc-Feraud, A. Chambolle, Image decomposition: Application to textured images and SAR images, Technical Report ISRN I3S/RR-2003-01-FR, INRIA—Project ARIANA, Sophia Antipolis, 2003
Bertalmio, 2003, Simultaneous structure and texture image inpainting, IEEE Trans. Image Process., 12, 882, 10.1109/TIP.2003.815261
J.S. De Bonet, Multiresolution sampling procedure for analysis and synthesis of texture images, in: Proceedings of SIGGRAPH, 1997
Bruce, 1998, Block coordinate relaxation methods for nonparametric signal de-noising, vol. 3391, 75
Bruckstein, 2002, A generalized uncertainty principle and sparse representation in pairs of rn bases, IEEE Trans. Inform. Theory, 48, 2558, 10.1109/TIT.2002.801410
Caselles, 2001, Filling-in by joint interpolation of vector fields and grey levels, IEEE Trans. Image Process., 10, 1200, 10.1109/83.935036
Chan, 2001, Local inpainting models and TV inpainting, SIAM J. Appl. Math., 62, 1019
Chen, 1998, Atomic decomposition by basis pursuit, SIAM J. Sci. Comput., 33, 10.1137/S1064827596304010
Donoho, 2001, Uncertainty principles and ideal atomic decomposition, IEEE Trans. Inform. Theory, 47, 2845, 10.1109/18.959265
Donoho, 2003, Optimally sparse representation in general (non-orthogonal) dictionaries via ℓ1 minimization, Proc. Natl. Acad. Sci., 100, 2197, 10.1073/pnas.0437847100
D.L. Donoho, M. Elad, V. Temlyakov, Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Trans. Inform. Theory (2004), in press
Donoho, 2001, Uncertainty principles and ideal atomic decomposition, IEEE Trans. Inform. Theory, 47, 2845, 10.1109/18.959265
A.A. Efros, T.K. Leung, Texture synthesis by non-parametric sampling, in: IEEE International Conference on Computer Vision, Corfu, Greece, September 1999, pp. 1033–1038
Elad, 2002, A generalized uncertainty principle and sparse representation in pairs of bases, IEEE Trans. Inform. Theory, 48, 2558, 10.1109/TIT.2002.801410
Fuchs, 2004, On sparse representations in arbitrary redundant bases, IEEE Trans. Inform. Theory, 50, 1341, 10.1109/TIT.2004.828141
Gribonval, 2001, Some remarks on nonlinear approximation with Schauder bases, East J. Approx., 7, 267
Gribonval, 2003, Sparse representations in unions of bases, IEEE Trans. Inform. Theory, 49, 3320, 10.1109/TIT.2003.820031
O.G. Guleryuz, Nonlinear approximation based image recovery using adaptive sparse reconstructions and iterated denoising: Part I—Theory, IEEE Trans. Image Process. (2004), submitted for publication
O.G. Guleryuz, Nonlinear approximation based image recovery using adaptive sparse reconstructions and iterated denoising: Part II—Adaptive algorithms, IEEE Trans. Image Process. (2004), submitted for publication
A.L. Bertozzi, M. Bertalmio, G. Sapiro, Navier–Stokes fluid dynamics and image and video inpainting, in: Proc. IEEE Computer Vision and Pattern Recognition (CVPR), 2001
V. Caselles, M. Bertalmio, G. Sapiro, C. Ballester, Image inpainting, in: Comput. Graph. (SIGGRAPH 2000), July 2000, pp. 417–424
Meyer, 2001, Oscillating Patterns in Image Processing and Nonlinear Evolution Equations, vol. 22
Rudin, 1992, Nonlinear total variation noise removal algorithm, Physica D, 60, 259, 10.1016/0167-2789(92)90242-F
Starck, 2002, The curvelet transform for image denoising, IEEE Trans. Image Process., 11, 131
J.-L. Starck, M. Elad, D.L. Donoho, Image decomposition via the combination of sparse representations and a variational approach, IEEE Trans. Image Process. (2004), in press
Starck, 2004, Redundant multiscale transforms and their application for morphological component analysis, Adv. Imag. Electron Phys., 132
T.A. Tropp, Just relax: Convex programming methods for subset selection and sparse approximation, IEEE Trans. Inform. Theory (2004), in press
Vese, 2003, Modeling textures with total variation minimization and oscillating patterns in image processing, J. Sci. Comput., 19, 553, 10.1023/A:1025384832106