J. S. De, P. A. Bonet, and . Viola, A non-parametric multi-scale statistical model for natural images, Advances in Neural Information Processing Systems, 1998.

K. Brady, I. Jermyn, and J. Zerubia, A probabilistic framework for adaptive texture description, Research Report, vol.4920, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00071659

K. Brady, I. H. Jermyn, and J. Zerubia, Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images, Procedings of the British Machine Vision Conference 2003, 2003.
DOI : 10.5244/C.17.59

K. Brady, I. H. Jermyn, and J. Zerubia, Texture analysis: an adaptive probabilistic approach, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003.
DOI : 10.1109/ICIP.2003.1246864

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.562

P. Brodatz, Textures: A Photographic Album for Artists and Designers, 1966.

H. Choi and R. Baraniuk, Multiscale image segmentation using wavelet-domain hidden Markov models, IEEE Transactions on Image Processing, vol.10, issue.9, pp.1309-1321, 2001.
DOI : 10.1109/83.941855

R. W. Conners, C. W. Mcmillin, K. Lin, R. E. Vasquez, and . Espinosa, Identify and locating surface defects in wood: Part of an automated lumber processing system, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.5, pp.573-583, 1983.

M. Crouse, R. Nowak, and R. Baraniuk, Wavelet-based statistical signal processing using hidden Markov models, IEEE Transactions on Signal Processing, vol.46, issue.4, pp.886-902, 1998.
DOI : 10.1109/78.668544

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via em algorithm, Journal of Royal Statistical Society, vol.39, pp.1-38, 1977.

P. Dewaele, P. Van-gool, and A. Oosterlinck, Texture inspection with self-adaptive convolution filters, [1988 Proceedings] 9th International Conference on Pattern Recognition, pp.56-60, 1998.
DOI : 10.1109/ICPR.1988.28171

M. N. Do and M. Vetterli, Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance, IEEE Transactions on Image Processing, vol.11, issue.2, pp.146-158, 2002.
DOI : 10.1109/83.982822

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2426

J. M. Francos, A. Z. Meiri, and B. Porat, A unified texture model based on a 2-D Wold-like decomposition, IEEE Transactions on Signal Processing, vol.41, issue.8, pp.2665-2678, 1993.
DOI : 10.1109/78.229897

R. Gupta and P. Undrill, The use of texture analysis to delineate suspicious masses in mammography, Physics in Medicine and Biology, vol.40, issue.5, pp.835-855, 1995.
DOI : 10.1088/0031-9155/40/5/009

E. T. Jaynes, Probability Theory: The Logic of Science, 2003.
DOI : 10.1017/CBO9780511790423

S. Livens, P. Scheunders, G. Van-de-wouwer, and D. Van-dyck, Wavelets for texture analysis, an overview, 6th International Conference on Image Processing and its Applications, pp.581-585, 1997.
DOI : 10.1049/cp:19970958

S. Mallat, A Wavelet Tour of Signal Processing

T. K. Moon, The expectation-maximization algorithm, IEEE Signal Processing Magazine, vol.13, issue.6, pp.47-60, 1996.
DOI : 10.1109/79.543975

J. A. Richards, Remote Sensing Digital Image Analysis, 1993.

M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, 1995.

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