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613–627 (1995)
39. Donoho, D., Johnstone, I. : Ideal spatial adaptation via wavelet shrinkage. Biometrika
81(3), 425–455 (1994)
40. Donoho, D., Johnstone, I. : Adapting to unknown smoothness via wavelet shrinkage.
J. of the American Statistical Association 90(432), 1200–1224 (1995)
41. Duda, R., Hart, P. : Use of the hough transformation to detect lines and curves in
pictures. Communications of the ACM 15(1), 11–15 (1972)
42. Ekeland, I., Temam, R. : Analyse convexe et probl` emes variationnels. Dunod, Paris
(1973)
43. Evans, L.C., Gariepy, R.F. : Measure theory and fine properties of functions. Studies
in Advanced Mathematics. CRC Press, Boca Raton, FL (1992)
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richardson–lucy algorithm. JOSA A 12(1), 58–65 (1995)
45. Friedman, A. : Variational Principles and Free-Boundary Problems. Wiley, New-York
(1982)
46. Garnett, J.B., Le, T.M., Meyer, Y., Vese, L. : Image decompositions using bounded
variation and generalized homogeneous Besov spaces. Appl. Comput. Harmon. Anal.
23(1), 25–56 (2007)
47. Gasquet, C., Witomski, P. : Analyse de fourier et traitement du signal. Masson (1998)
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//tel.archives-ouvertes.fr/tel-00121338/fr/
49. Gilles, J., Meyer, Y. : Properties of BV ´ G structures + textures decomposition
models. Application to road detection in satellite images. IEEE Trans. Image Process.
19(11), 2793–2800 (2010)
50. Gonzales, R.C., Woods, R.E. : Digital Image Processing. Addison-Wesley Publishing
Company (1993)
51. Hamerly, G., Elkan, C. : Alternatives to the k-means algorithm that find better clusterings. In : Proceedings of the eleventh international conference on Information and
knowledge management (CIKM) (2002)
52. Hiriart-Urruty, J.B. : Optimisation et analyse convexe. Math´ ematiques. Presses Universitaires de France, Paris (1998)
53. Hough, P. : Machine analysis of bubble chamber pictures. In : Proc. Int. Conf. High
Energy Accelerators and Instrumentation (1959)
54. IPOL : Image processing on line. URL http://www.ipol.im/
55. Ishwar, P., Moulin, P. : Multiple-domain image modeling and restoration. In : Proc.
IEEE Intl. Conf. Image Processing, vol. 1, pp. 362–366. IEEE, Kobe, Japan (1999)
56. Kass, M., Witkin, A., Terzopoulos, D. : Snakes : active contour models. IEEE Int.
Comp. Vis. Conf. 777 (1987)
57. Kimmel, R., Bruckstein, A. : On edge detection, edge integration and geometric active
contours. In : Proc. Int. Symposium on Mathematical Morphology (ISMM 2002).
Sydney (2002)
58. Le Guyader, C. : Imagerie math´ ematique : Segmentation sous contraintes
g´ eom´ etriques. th´ eorie et applications. Ph.D. thesis, INSA de Rouen (2004)
59. Lloyd, S.P. : Least squares quantization in pcm. IEEE Transactions on Information
Theory 28(2), 129–137 (1982)
60. Lucy, L.B. : An iterative technique for the rectification of observed distributions. Astronomical Journal 79(6), 745–754 (1974)
235
38. Donoho, D. : Denoising by soft-thresholding. IEEE Trans. on Info. Theory 41(3),
613–627 (1995)
39. Donoho, D., Johnstone, I. : Ideal spatial adaptation via wavelet shrinkage. Biometrika
81(3), 425–455 (1994)
40. Donoho, D., Johnstone, I. : Adapting to unknown smoothness via wavelet shrinkage.
J. of the American Statistical Association 90(432), 1200–1224 (1995)
41. Duda, R., Hart, P. : Use of the hough transformation to detect lines and curves in
pictures. Communications of the ACM 15(1), 11–15 (1972)
42. Ekeland, I., Temam, R. : Analyse convexe et probl` emes variationnels. Dunod, Paris
(1973)
43. Evans, L.C., Gariepy, R.F. : Measure theory and fine properties of functions. Studies
in Advanced Mathematics. CRC Press, Boca Raton, FL (1992)
44. Fish, D., Brinicombe, A., Pike, E., Walker, J. : Blind deconvolution by means of the
richardson–lucy algorithm. JOSA A 12(1), 58–65 (1995)
45. Friedman, A. : Variational Principles and Free-Boundary Problems. Wiley, New-York
(1982)
46. Garnett, J.B., Le, T.M., Meyer, Y., Vese, L. : Image decompositions using bounded
variation and generalized homogeneous Besov spaces. Appl. Comput. Harmon. Anal.
23(1), 25–56 (2007)
47. Gasquet, C., Witomski, P. : Analyse de fourier et traitement du signal. Masson (1998)
48. Gaudeau, Y. : Contributions en compression d’images m´ edicales 3d et d’images naturelles 2d. Ph.D. thesis, Universit´ e Henri Poincar´ e, Nancy 1 (2009). URL http:
//tel.archives-ouvertes.fr/tel-00121338/fr/
49. Gilles, J., Meyer, Y. : Properties of BV ´ G structures + textures decomposition
models. Application to road detection in satellite images. IEEE Trans. Image Process.
19(11), 2793–2800 (2010)
50. Gonzales, R.C., Woods, R.E. : Digital Image Processing. Addison-Wesley Publishing
Company (1993)
51. Hamerly, G., Elkan, C. : Alternatives to the k-means algorithm that find better clusterings. In : Proceedings of the eleventh international conference on Information and
knowledge management (CIKM) (2002)
52. Hiriart-Urruty, J.B. : Optimisation et analyse convexe. Math´ ematiques. Presses Universitaires de France, Paris (1998)
53. Hough, P. : Machine analysis of bubble chamber pictures. In : Proc. Int. Conf. High
Energy Accelerators and Instrumentation (1959)
54. IPOL : Image processing on line. URL http://www.ipol.im/
55. Ishwar, P., Moulin, P. : Multiple-domain image modeling and restoration. In : Proc.
IEEE Intl. Conf. Image Processing, vol. 1, pp. 362–366. IEEE, Kobe, Japan (1999)
56. Kass, M., Witkin, A., Terzopoulos, D. : Snakes : active contour models. IEEE Int.
Comp. Vis. Conf. 777 (1987)
57. Kimmel, R., Bruckstein, A. : On edge detection, edge integration and geometric active
contours. In : Proc. Int. Symposium on Mathematical Morphology (ISMM 2002).
Sydney (2002)
58. Le Guyader, C. : Imagerie math´ ematique : Segmentation sous contraintes
g´ eom´ etriques. th´ eorie et applications. Ph.D. thesis, INSA de Rouen (2004)
59. Lloyd, S.P. : Least squares quantization in pcm. IEEE Transactions on Information
Theory 28(2), 129–137 (1982)
60. Lucy, L.B. : An iterative technique for the rectification of observed distributions. Astronomical Journal 79(6), 745–754 (1974)