J. Max, Quantizing for minimum distortion, IEEE Transactions on Information Theory, vol.6, issue.1, pp.7-12, 1960.
DOI : 10.1109/TIT.1960.1057548

S. Lloyd, Least squares quantization in PCM, IEEE Transactions on Information Theory, vol.28, issue.2, pp.129-137, 1982.
DOI : 10.1109/TIT.1982.1056489

Y. Linde, A. Buzo, and R. Gray, An Algorithm for Vector Quantizer Design, IEEE Transactions on Communications, vol.28, issue.1, pp.84-95, 1980.
DOI : 10.1109/TCOM.1980.1094577

K. Chuang, H. Tzeng, S. Chen, J. Wu, and T. Chen, Fuzzy c-means clustering with spatial information for image segmentation, Computerized Medical Imaging and Graphics, vol.30, issue.1, pp.9-15, 2006.
DOI : 10.1016/j.compmedimag.2005.10.001

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

S. Boyd and L. Vandenberghe, Convex Optimization, 2004.

P. L. Combettes and J. Pesquet, Proximal splitting methods in signal processing, " in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2010.

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/34.969114

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

H. Ishikawa and D. Geiger, Mapping image restoration to a graph problem, IEEE-EURASIP Workshop Nonlinear Signal Image Process, pp.189-193, 1999.

A. Chambolle, An algorithm for total variation minimization and applications, J. Math. Imaging Vis, vol.20, issue.12, pp.89-97, 2004.

A. Beck and M. Teboulle, A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009.
DOI : 10.1137/080716542