234
Litt´ erature
15. Bergounioux, M. : M´ ethodes math´ ematiques pour le traitement du signal (2 e ´ edition).
Dunod, Paris (2014)
16. Braemer, J.M., Kerbrat, Y. : G´ eom´ etrie des courbes et des surfaces. Hermann, Paris
(1976)
17. Bres, S., Jolion, J.M., Lebourgeois, F. : Traitement et analyse des images num´ eriques.
Herm` es Lavoisier (2003)
18. Brezis, H. : Analyse fonctionnelle. Th´ eorie et applications. Collection Math´ ematiques
Appliqu´ ees pour la Maˆ ıtrise. Masson, Paris (1983)
19. Buades, A., Coll, B., Morel, J. : A review of image denoising algorithms, with a new
one. Multiscale Modeling and Simulation 4(2), 490–530 (2005)
20. Canny, J. : A computational approach to edge detection. IEEE Trans. Pattern Ana.
and Machine Intell. 8, 679–698 (1986)
21. Carasso, A. : Linear and nonlinear image deblurring : a documented study. SIAM J.
Numerical Analysis 36(6), 1659–1689 (1999)
22. Caselles, V., Catt´ e, F., Coll, B., Dibos, F. : A geometric model for active contours in
image processing. Numer. Math. 66(1), 1–31 (1993)
23. Caselles, V., Coll, B., Morel, J.M. : Topographic maps and local contrast changes in
natural images. Int. J. Comp. Vision 33(1), 5–27 (1999)
24. Caselles, V., Kimmel, R., Sapiro, G. : Geodesic active contours. Int. J. Comp. Vision
1(22), 61–79 (1997)
25. Chalmont, B. : ´
El´ ements de mod´ elisation pour l’analyse d’images, Math´ ematiques et
Applications, vol. 33. Springer (2000)
26. Chambolle, A. : An algorithm for total variation minimization and applications. Journal of Mathematical Imaging and Vision 20(1-2), 89–97 (2004)
27. Chambolle, A. : Total variation minimization and a class of binary mrf models. In :
EMMCVPR 05, Lecture Notes in Computer Sciences, vol. 3757, pp. 136–152. Springer,
Berlin (2005)
28. Chambolle, A., Lions, P.L. : Image recovery via total variation minimization and related problems. Numer. Math. 76(2), 167–188 (1997)
29. Chambolle, A., Pock, T. : A first-order primal-dual algorithm for convex problems with
applications to imaging. Journal of Mathematical Imaging and Vision 40(1), 120–145
(2011)
30. Chan, T., Moelich, M., Sandberg, B. : Some recent developments in variational image
segmentation. In : Image processing based on partial differential equations, Math.
Vis., pp. 175–210. Springer, Berlin (2007)
31. Cocquerez, J.P., Philipp, S. : Analyse d’images : filtrage et segmentation. Paris, Masson
(1995)
32. Cohen, L. : On active contours models and balloons. Computer Vision, graphics and
image processing : image understanding. 53(2), 211–218 (1991)
33. Combettes, P.L., R., W.V. : Signal recovery by proximal forward-backward splitting.
SIAM Journal on Multiscale Model. Simul. 4(4), 1168–1200 (2005)
34. Daubechies, I. : Ten lectures on wavelets. SIAM Philadelphia, Pennsylvania (1992)
35. Dautray, R., Lions, J.L. : Analyse math´ ematique et calcul num´ erique pour les sciences
et techniques, vol. 9 volumes. Masson, Paris (1987)
36. Deschamps, T., Cohen, L. : Fast extraction of minimal paths in 3d images and application to virtual endoscopy. Medical Image Analysis 5(4), 281–299 (2001)
37. Desolneux, A., Moisan, L., Morel, J.M. : From Gestalt Theory to Image Analysis,
A Probabilistic Approach, Interdisciplinarity Applied Mathematics, vol. 34. Springer
(2008)
Litt´ erature
15. Bergounioux, M. : M´ ethodes math´ ematiques pour le traitement du signal (2 e ´ edition).
Dunod, Paris (2014)
16. Braemer, J.M., Kerbrat, Y. : G´ eom´ etrie des courbes et des surfaces. Hermann, Paris
(1976)
17. Bres, S., Jolion, J.M., Lebourgeois, F. : Traitement et analyse des images num´ eriques.
Herm` es Lavoisier (2003)
18. Brezis, H. : Analyse fonctionnelle. Th´ eorie et applications. Collection Math´ ematiques
Appliqu´ ees pour la Maˆ ıtrise. Masson, Paris (1983)
19. Buades, A., Coll, B., Morel, J. : A review of image denoising algorithms, with a new
one. Multiscale Modeling and Simulation 4(2), 490–530 (2005)
20. Canny, J. : A computational approach to edge detection. IEEE Trans. Pattern Ana.
and Machine Intell. 8, 679–698 (1986)
21. Carasso, A. : Linear and nonlinear image deblurring : a documented study. SIAM J.
Numerical Analysis 36(6), 1659–1689 (1999)
22. Caselles, V., Catt´ e, F., Coll, B., Dibos, F. : A geometric model for active contours in
image processing. Numer. Math. 66(1), 1–31 (1993)
23. Caselles, V., Coll, B., Morel, J.M. : Topographic maps and local contrast changes in
natural images. Int. J. Comp. Vision 33(1), 5–27 (1999)
24. Caselles, V., Kimmel, R., Sapiro, G. : Geodesic active contours. Int. J. Comp. Vision
1(22), 61–79 (1997)
25. Chalmont, B. : ´
El´ ements de mod´ elisation pour l’analyse d’images, Math´ ematiques et
Applications, vol. 33. Springer (2000)
26. Chambolle, A. : An algorithm for total variation minimization and applications. Journal of Mathematical Imaging and Vision 20(1-2), 89–97 (2004)
27. Chambolle, A. : Total variation minimization and a class of binary mrf models. In :
EMMCVPR 05, Lecture Notes in Computer Sciences, vol. 3757, pp. 136–152. Springer,
Berlin (2005)
28. Chambolle, A., Lions, P.L. : Image recovery via total variation minimization and related problems. Numer. Math. 76(2), 167–188 (1997)
29. Chambolle, A., Pock, T. : A first-order primal-dual algorithm for convex problems with
applications to imaging. Journal of Mathematical Imaging and Vision 40(1), 120–145
(2011)
30. Chan, T., Moelich, M., Sandberg, B. : Some recent developments in variational image
segmentation. In : Image processing based on partial differential equations, Math.
Vis., pp. 175–210. Springer, Berlin (2007)
31. Cocquerez, J.P., Philipp, S. : Analyse d’images : filtrage et segmentation. Paris, Masson
(1995)
32. Cohen, L. : On active contours models and balloons. Computer Vision, graphics and
image processing : image understanding. 53(2), 211–218 (1991)
33. Combettes, P.L., R., W.V. : Signal recovery by proximal forward-backward splitting.
SIAM Journal on Multiscale Model. Simul. 4(4), 1168–1200 (2005)
34. Daubechies, I. : Ten lectures on wavelets. SIAM Philadelphia, Pennsylvania (1992)
35. Dautray, R., Lions, J.L. : Analyse math´ ematique et calcul num´ erique pour les sciences
et techniques, vol. 9 volumes. Masson, Paris (1987)
36. Deschamps, T., Cohen, L. : Fast extraction of minimal paths in 3d images and application to virtual endoscopy. Medical Image Analysis 5(4), 281–299 (2001)
37. Desolneux, A., Moisan, L., Morel, J.M. : From Gestalt Theory to Image Analysis,
A Probabilistic Approach, Interdisciplinarity Applied Mathematics, vol. 34. Springer
(2008)